Triple

T22966048
Position Surface form Disambiguated ID Type / Status
Subject Ziyang E571048 entity
Predicate region P40 FINISHED
Object Chengdu metropolitan area NE NERFINISHED

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 metropolitan area | Statement: [Ziyang, region, Chengdu metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chengdu metropolitan area
Context triple: [Ziyang, region, Chengdu metropolitan area]
  • 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. Tianfu
    Tianfu was the reign era name used by the Later Jin dynasty during the turbulent Five Dynasties period in Chinese history.
  • C. Neijiang
    Neijiang is a prefecture-level city in southeastern Sichuan Province, China, known historically as a regional transport hub and for its sugar and food industries.
  • D. Deyang
    Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822e542c8190a865f18e64fc0768 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:47 p.m.