Triple

T1624946
Position Surface form Disambiguated ID Type / Status
Subject Enshi Tujia and Miao Autonomous Prefecture E35119 entity
Predicate seat P75 FINISHED
Object Enshi City E241156 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: Enshi City | Statement: [Enshi Tujia and Miao Autonomous Prefecture, seat, Enshi City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enshi City
Context triple: [Enshi Tujia and Miao Autonomous Prefecture, seat, Enshi City]
  • A. Enshi City chosen
    Enshi City is a county-level city in southwestern Hubei Province, China, known for its mountainous karst landscapes and role as a cultural center for the Tujia and Miao ethnic groups.
  • B. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • E. Jingmen
    Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d19b008190b2224717b2909a78 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6518e07081909c34a363d7ac0f25 completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:28 p.m.