Triple

T9035754
Position Surface form Disambiguated ID Type / Status
Subject Shayang County E216487 entity
Predicate isRuralDistrictOf P56414 FINISHED
Object Jingmen City E40390 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: Jingmen City | Statement: [Shayang County, isRuralDistrictOf, Jingmen City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingmen City
Context triple: [Shayang County, isRuralDistrictOf, Jingmen City]
  • A. Jingmen chosen
    Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
  • B. Guangshui
    Guangshui is a county-level city in central China's Hubei province, known for its historical sites and role as a regional transportation hub.
  • C. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • 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. Xiaogan
    Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6ac0b00c8190a7250b86bb7cc276 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1af0f42488190a298eb449828b9ae completed April 5, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:08 p.m.