Triple
T4283321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quanzhou |
E97206
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Fengze District
Fengze District is a central urban district of Quanzhou in Fujian Province, China, known as one of the city’s main commercial and administrative hubs.
|
E473606
|
NE FINISHED |
How this triple was built (4 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: Fengze District | Statement: [Quanzhou, hasDistrict, Fengze District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fengze District Context triple: [Quanzhou, hasDistrict, Fengze District]
-
A.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
B.
Yingze District
Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
-
E.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
- 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: Fengze District Triple: [Quanzhou, hasDistrict, Fengze District]
Generated description
Fengze District is a central urban district of Quanzhou in Fujian Province, China, known as one of the city’s main commercial and administrative hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fengze District Target entity description: Fengze District is a central urban district of Quanzhou in Fujian Province, China, known as one of the city’s main commercial and administrative hubs.
-
A.
Jinyuan District
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
B.
Yingze District
Yingze District is a central urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its administrative, commercial, and cultural significance.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Xiaonan District
Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
-
E.
Qingshan District
Qingshan District is an urban district of Wuhan in Hubei Province, China, known for its heavy industry and riverside location along the Yangtze River.
- F. None of above. chosen
Provenance (5 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c69987881908dc2b6286fec73c2 |
completed | March 21, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69be5d1049fc8190a8c33cf931d5fc77 |
completed | March 21, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5e09bba88190a4e403ed651662e7 |
completed | March 21, 2026, 8:59 a.m. |
Created at: March 12, 2026, 11:07 p.m.