Triple

T18548949
Position Surface form Disambiguated ID Type / Status
Subject Guangyang District E453315 entity
Predicate locatedIn P40 FINISHED
Object Langfang City 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: Langfang City | Statement: [Guangyang District, locatedIn, Langfang City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langfang City
Context triple: [Guangyang District, locatedIn, Langfang City]
  • A. Langfang chosen
    Langfang is a prefecture-level city in northern China situated between Beijing and Tianjin, known for its strategic location and growing industrial and service sectors.
  • B. Zhuozhou City
    Zhuozhou City is a county-level city in Hebei Province, China, located southwest of Beijing and known for its role as a regional transportation and agricultural hub.
  • C. Pinghu City
    Pinghu City is a county-level coastal city in northern Zhejiang Province, China, known for its manufacturing industry and proximity to Shanghai across Hangzhou Bay.
  • D. Cangzhou
    Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
  • E. Baoding
    Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.