Triple
T6511156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hengshui |
E150136
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Taocheng District |
E607574
|
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: Taocheng District | Statement: [Hengshui, hasSubdivision, Taocheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taocheng District Context triple: [Hengshui, hasSubdivision, Taocheng District]
-
A.
Taocheng District
chosen
Taocheng District is the central urban district and administrative seat of Hengshui City in Hebei Province, China.
-
B.
Liangxi District
Liangxi District is a central urban district of Wuxi in Jiangsu Province, China, known as one of the city’s key commercial and administrative areas.
-
C.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
D.
Yiling District
Yiling District is an administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and proximity to the Three Gorges region.
-
E.
Taijiang District
Taijiang District is a central urban district of Fuzhou in Fujian Province, China, known for its commercial activity and dense residential 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7813a788190a25ace732cf4e3d0 |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:43 p.m.