Triple

T10028945
Position Surface form Disambiguated ID Type / Status
Subject Hechuan District E204802 entity
Predicate formerStatus P2575 FINISHED
Object Hechuan City E204802 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: Hechuan City | Statement: [Hechuan District, formerStatus, Hechuan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hechuan City
Context triple: [Hechuan District, formerStatus, Hechuan City]
  • A. Hechuan District chosen
    Hechuan District is an urban district of the Chongqing municipality in southwestern China, known for its historical significance and location at the confluence of three rivers.
  • B. 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.
  • C. Deyang
    Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
  • D. Wenchuan County
    Wenchuan County is a mountainous county in Sichuan Province, China, known for its rich biodiversity, protected panda habitats, and as the epicenter of the devastating 2008 Sichuan earthquake.
  • E. Meizhou
    Meizhou is a city in eastern Guangdong, China, known as a cultural and historical center of the Hakka people.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a17359081908c3ef7df819c74f9 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:54 p.m.