Triple

T10076655
Position Surface form Disambiguated ID Type / Status
Subject Fen River E213779 entity
Predicate majorRiverOf P165 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: [Fen River, majorRiverOf, Shanxi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanxi Province
Context triple: [Fen River, majorRiverOf, 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbc0388c8190bc10d462068c9e38 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 8:59 p.m.