Triple
T1120370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan |
E11195
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object | Wuchang District |
E77262
|
NE FINISHED |
How this triple was built (2 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: Wuchang District | Statement: [Wuhan, hasAdministrativeDivision, Wuchang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuchang District Context triple: [Wuhan, hasAdministrativeDivision, Wuchang District]
-
A.
Wuchang District
chosen
Wuchang District is a central urban district of Wuhan, China, known for its historical significance, educational institutions, and location along the Yangtze River.
-
B.
Jianghan District
Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
-
C.
Qiaokou District
Qiaokou District is an urban district of Wuhan in Hubei Province, China, known for its dense residential areas and commercial activity.
-
D.
Jiang'an District
Jiang'an District is an urban district of Wuhan in Hubei Province, China, known for its central location and role as a key commercial and residential area of the city.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbbca3348190a607ce147b2ae70e |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0fac0c8190b23a976b495d1701 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:43 p.m.