Triple

T19165427
Position Surface form Disambiguated ID Type / Status
Subject Shanhaiguan District E469165 entity
Predicate borderedBy P224 FINISHED
Object Funing District 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: Funing District | Statement: [Shanhaiguan District, borderedBy, Funing District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funing District
Context triple: [Shanhaiguan District, borderedBy, Funing District]
  • A. Funing District chosen
    Funing District is an administrative district under the jurisdiction of Qinhuangdao City in Hebei Province, China, known for its mix of urban areas and surrounding rural landscapes.
  • B. Fengnan District
    Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
  • C. Wugu District
    Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
  • D. Maonan District
    Maonan District is the central urban district and administrative seat of Maoming City in Guangdong Province, China.
  • E. Zhangwan District
    Zhangwan District is an urban administrative district of the prefecture-level city of Shiyan in Hubei Province, China, known for its role in the region’s automotive and industrial development.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.