Triple
T8530164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng Ai |
E201923
|
entity |
| Predicate | captured |
P4236
|
FINISHED |
| Object | Chengdu |
E280635
|
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: Chengdu | Statement: [Deng Ai, captured, Chengdu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chengdu Context triple: [Deng Ai, captured, Chengdu]
-
A.
Chengdu
chosen
Chengdu is the capital of Sichuan Province in southwestern China, known for its spicy cuisine, giant panda breeding centers, and status as a major economic and cultural hub.
-
B.
Chongqing
Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
-
C.
Deyang
Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
-
D.
Yibin
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.
-
E.
Xichang
Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67409f08190b20d13d26e9a362c |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb71c81881909e7b9e84d2601949 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:17 p.m.