Triple
T11736665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yibin |
E279044
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object | 宜宾市 |
E279044
|
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: 宜宾市 | Statement: [Yibin, ChineseName, 宜宾市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宜宾市 Context triple: [Yibin, ChineseName, 宜宾市]
-
A.
曲靖市
曲靖市 is a prefecture-level city in eastern Yunnan Province, China, known as an important industrial and transportation hub in the region.
-
B.
Mianyang
Mianyang is a major city in southwestern China known as an important industrial and technological center within Sichuan Province.
-
C.
Yibin
chosen
Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
-
D.
Luzhou
Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
-
E.
Luzhou
Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.