Triple
T12660421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangzhou |
E302407
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Huangzhou District |
E233049
|
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: Huangzhou District | Statement: [Huangzhou, capitalOf, Huangzhou District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huangzhou District Context triple: [Huangzhou, capitalOf, Huangzhou District]
-
A.
Huangzhou District
chosen
Huangzhou District is an urban administrative district in Hubei Province, China, serving as the political and economic center of the city of Huanggang.
-
B.
Huangpi District
Huangpi District is a suburban district in the northern part of Wuhan, China, known for its mix of rural landscapes, historical sites, and growing urban development.
-
C.
Huangshigang District
Huangshigang District is an urban administrative district and central area of the prefecture-level city of Huangshi in Hubei Province, China.
-
D.
Qianjiang District
Qianjiang District is an administrative district in southeastern Chongqing, China, known for its mountainous terrain and role as a regional transport and economic hub.
-
E.
Jianghan District
Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719de0908190bbc9a98e67e5b6eb |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:19 p.m.