Triple
T829144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Nanshan District |
E17924
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object |
Yuehai Subdistrict
Yuehai Subdistrict is an urban administrative area within Nanshan District of Shenzhen, China, known for its concentration of high-tech industries and proximity to major technology parks.
|
E96513
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yuehai Subdistrict | Statement: [Shenzhen Nanshan District, hasSubdistrict, Yuehai Subdistrict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuehai Subdistrict Context triple: [Shenzhen Nanshan District, hasSubdistrict, Yuehai Subdistrict]
-
A.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
B.
Putuo District
Putuo District is an urban district in the northwest of central Shanghai, known for its dense residential neighborhoods, commercial centers, and convenient transportation links.
-
C.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
D.
Fengxian District
Fengxian District is a suburban district in the southern part of Shanghai, China, known for its coastal location, agricultural areas, and growing residential and industrial development.
-
E.
Jinshan District
Jinshan District is a suburban coastal district in southwestern Shanghai, known for its petrochemical industry, beaches, and growing residential communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuehai Subdistrict Triple: [Shenzhen Nanshan District, hasSubdistrict, Yuehai Subdistrict]
Generated description
Yuehai Subdistrict is an urban administrative area within Nanshan District of Shenzhen, China, known for its concentration of high-tech industries and proximity to major technology parks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuehai Subdistrict Target entity description: Yuehai Subdistrict is an urban administrative area within Nanshan District of Shenzhen, China, known for its concentration of high-tech industries and proximity to major technology parks.
-
A.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
B.
Putuo District
Putuo District is an urban district in the northwest of central Shanghai, known for its dense residential neighborhoods, commercial centers, and convenient transportation links.
-
C.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
D.
Fengxian District
Fengxian District is a suburban district in the southern part of Shanghai, China, known for its coastal location, agricultural areas, and growing residential and industrial development.
-
E.
Jinshan District
Jinshan District is a suburban coastal district in southwestern Shanghai, known for its petrochemical industry, beaches, and growing residential communities.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubdistrict Context triple: [Shenzhen Nanshan District, hasSubdistrict, Yuehai Subdistrict]
-
A.
hasSubdivision
chosen
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
B.
hasNumberOfBarangays
Indicates the total count of barangays associated with a given administrative unit or locality.
-
C.
isSubProvincialCity
Indicates that a city holds a sub-provincial administrative status, ranking below a province but above ordinary prefecture-level cities in the governmental hierarchy.
-
D.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
-
E.
subprefecture
Indicates that an entity is a subprefecture (an administrative subdivision) of another administrative region or jurisdiction.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.