Triple

T13377839
Position Surface form Disambiguated ID Type / Status
Subject Jinyang E319235 entity
Predicate locatedIn P40 FINISHED
Object Shanxi province E64927 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: Shanxi province | Statement: [Jinyang, locatedIn, Shanxi province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanxi province
Context triple: [Jinyang, locatedIn, Shanxi province]
  • A. Shanxi Province chosen
    Shanxi Province is a landlocked region in northern China known for its rich coal resources, well-preserved ancient architecture, and significant historical and cultural heritage.
  • B. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • C. Shuozhou
    Shuozhou is a prefecture-level city in northern China known for its coal resources and historical sites within Shanxi Province.
  • D. Fenyang, Shanxi
    Fenyang, Shanxi is a county-level city in central Shanxi Province, China, known for its historical heritage and as the hometown of acclaimed film director Jia Zhangke.
  • E. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83125d481908fe02cf85651a7bb completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:33 p.m.