Triple

T19324704
Position Surface form Disambiguated ID Type / Status
Subject Fushun War Criminals Management Centre E483317 entity
Predicate locatedIn P40 FINISHED
Object Fushun 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: Fushun | Statement: [Fushun War Criminals Management Centre, locatedIn, Fushun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fushun
Context triple: [Fushun War Criminals Management Centre, locatedIn, Fushun]
  • A. Fushun chosen
    Fushun is an industrial city in northeastern China known historically for its coal mining and heavy industry.
  • B. Benxi
    Benxi is an industrial and mining city in eastern Liaoning Province, China, known for its steel production and nearby scenic karst landscapes.
  • C. Fuxin
    Fuxin is a prefecture-level city in northeastern China known historically for its coal mining industry and location in western Liaoning Province.
  • D. Anshan
    Anshan was an ancient city and region in southwestern Iran that served as an early center of Elamite and later Achaemenid Persian power.
  • E. Anshan
    Anshan is a major industrial city in northeastern China, historically known as one of the country’s leading steel-producing centers.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8af43c81908e5a8780c35a8e1d completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.