Triple

T23451494
Position Surface form Disambiguated ID Type / Status
Subject Qionglai Mountains E567790 entity
Predicate administrativeRegion P285 FINISHED
Object Ya'an City 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: Ya'an City | Statement: [Qionglai Mountains, administrativeRegion, Ya'an City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ya'an City
Context triple: [Qionglai Mountains, administrativeRegion, Ya'an City]
  • A. Ya’an City chosen
    Ya’an City is a prefecture-level city in western Sichuan Province, China, known as a historic gateway to Tibet and for its lush mountainous landscapes and panda habitats.
  • B. Lichuan
    Lichuan is a city in southwestern Hubei Province, China, historically noted as the site of the Battle of Lichuan.
  • C. Kangding City
    Kangding City is a county-level city in western Sichuan, China, known as a historic gateway between Han Chinese and Tibetan regions and now serving as the capital of Garzê Tibetan Autonomous Prefecture.
  • D. 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.
  • E. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64ded5c8190bd50ac5b9bbb0f5f completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:52 p.m.