Triple
T15498364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tieling |
E378881
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Yinzhou District |
E1160067
|
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: Yinzhou District | Statement: [Tieling, hasDistrict, Yinzhou District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yinzhou District Context triple: [Tieling, hasDistrict, Yinzhou District]
-
A.
Yinzhou District
chosen
Yinzhou District is the central urban district and administrative seat of Tieling City in Liaoning Province, northeastern China.
-
B.
Luyang District
Luyang District is a central urban district of Hefei, Anhui Province, China, known as an administrative, commercial, and cultural hub of the city.
-
C.
Futian District
Futian District is a central urban district of Shenzhen, China, known as a major commercial, administrative, and financial hub that hosts the city government and the Shenzhen Central Business District.
-
D.
Wuling District
Wuling District is the central urban district and administrative hub of Changde City in Hunan Province, China.
-
E.
Pengjiang District
Pengjiang District is the central urban district and administrative, economic, and cultural core of Jiangmen City in Guangdong Province, China.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4a9bf88190b7c6b4874abe165f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:53 a.m.