Triple

T8599377
Position Surface form Disambiguated ID Type / Status
Subject Jiang Wei E203634 entity
Predicate associatedWith P37 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: [Jiang Wei, associatedWith, Chengdu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengdu
Context triple: [Jiang Wei, associatedWith, 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d7c184819083236c75f9ccc9cf completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb71c81881909e7b9e84d2601949 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:24 p.m.