Triple

T18559328
Position Surface form Disambiguated ID Type / Status
Subject Ueda E453589 entity
Predicate twinTown P1072 FINISHED
Object Leshan, Sichuan 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: Leshan, Sichuan | Statement: [Ueda, twinTown, Leshan, Sichuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leshan, Sichuan
Context triple: [Ueda, twinTown, Leshan, Sichuan]
  • A. Leshan chosen
    Leshan is a city in southwestern China best known for the UNESCO-listed Leshan Giant Buddha, a colossal stone statue carved into a cliff at the confluence of three rivers.
  • B. Dujiangyan City
    Dujiangyan City is a county-level city in Sichuan Province, China, best known as the home of the ancient Dujiangyan Irrigation System, a UNESCO World Heritage Site.
  • C. Lichuan
    Lichuan is a city in southwestern Hubei Province, China, historically noted as the site of the Battle of Lichuan.
  • D. Luzhou
    Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
  • E. Luzhou
    Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53808c3fc8190aac38b29296cee13 completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:42 a.m.