Triple
T1970119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suizhou |
E42779
|
entity |
| Predicate | isSeatOf |
P62
|
FINISHED |
| Object | Zengdu District |
E219425
|
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: Zengdu District | Statement: [Suizhou, isSeatOf, Zengdu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zengdu District Context triple: [Suizhou, isSeatOf, Zengdu District]
-
A.
Zengdu District
chosen
Zengdu District is an urban administrative district of Suizhou City in Hubei Province, China, serving as one of its key political and economic centers.
-
B.
Hechuan District
Hechuan District is an urban district of the Chongqing municipality in southwestern China, known for its historical significance and location at the confluence of three rivers.
-
C.
Jiulongpo District
Jiulongpo District is an urban administrative district of Chongqing, China, known for its industrial base and growing residential and commercial areas.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d17274819084cd352a3d2a8151 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5176d2f08190b3ebc53ea1def9be |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:36 p.m.