Triple
T10001534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzhou |
E197338
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Longwan District
Longwan District is an urban coastal district of Wenzhou in Zhejiang Province, China, known for its industrial development and proximity to the East China Sea.
|
E886771
|
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: Longwan District | Statement: [Wenzhou, hasDistrict, Longwan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longwan District Context triple: [Wenzhou, hasDistrict, Longwan District]
-
A.
Dawan District
Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
-
B.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Yunhe District
Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
-
E.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
- 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: Longwan District Triple: [Wenzhou, hasDistrict, Longwan District]
Generated description
Longwan District is an urban coastal district of Wenzhou in Zhejiang Province, China, known for its industrial development and proximity to the East China Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longwan District Target entity description: Longwan District is an urban coastal district of Wenzhou in Zhejiang Province, China, known for its industrial development and proximity to the East China Sea.
-
A.
Dawan District
Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
-
B.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
C.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Yunhe District
Yunhe District is an urban administrative district that serves as the central area and governmental seat of Cangzhou in Hebei Province, China.
-
E.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8f50888190b2f1c5240cb58e4f |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de83df5bf881908d775354ace05e66 |
completed | April 14, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_69de883488b481909f151d8a7c246aa1 |
completed | April 14, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8e80fe80819088ac76bb5abc58f0 |
completed | April 14, 2026, 6:59 p.m. |
Created at: March 30, 2026, 8:51 p.m.