Triple

T8581077
Position Surface form Disambiguated ID Type / Status
Subject Long River E203178 entity
Predicate flowsThrough P225 FINISHED
Object Sichuan E38082 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: Sichuan | Statement: [Long River, flowsThrough, Sichuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sichuan
Context triple: [Long River, flowsThrough, Sichuan]
  • A. Sichuan Province chosen
    Sichuan Province is a populous landlocked region in southwestern China known for its spicy cuisine, rich cultural heritage, and diverse mountainous landscapes including parts of the Tibetan Plateau.
  • B. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • C. Sichuan Basin
    The Sichuan Basin is a large, fertile lowland region in southwestern China, surrounded by mountains and known as a major agricultural and population center.
  • D. Yang Province
    Yang Province was an ancient administrative region in southeastern China that encompassed parts of modern Jiangsu, Anhui, and surrounding areas during the Han and Three Kingdoms periods.
  • E. Shíyàn
    Shíyàn is the Hanyu Pinyin romanization of the Chinese city name Shiyan, located in Hubei Province, China.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1a026c819089183f542eeb7837 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89ae87f08190b83bc539e1d4eeaa completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.