Triple
T5974186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuanzhai Alleys |
E132943
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Qingyang District |
E598406
|
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: Qingyang District | Statement: [Kuanzhai Alleys, locatedIn, Qingyang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qingyang District Context triple: [Kuanzhai Alleys, locatedIn, Qingyang District]
-
A.
Qingyang District
chosen
Qingyang District is a central urban district of Chengdu, Sichuan Province, known as the city’s political, cultural, and commercial core.
-
B.
Fengnan District
Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
C.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
D.
Yunlong District
Yunlong District is an urban administrative district and central area of Xuzhou City in Jiangsu Province, China.
-
E.
Fengrun District
Fengrun District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cae2c7f4819096354202532ae488 |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.