Triple

T22106435
Position Surface form Disambiguated ID Type / Status
Subject Liaoyuan E546298 entity
Predicate administrativeDivisionOf P747 FINISHED
Object Longshan 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: Longshan District | Statement: [Liaoyuan, administrativeDivisionOf, Longshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longshan District
Context triple: [Liaoyuan, administrativeDivisionOf, Longshan District]
  • A. Longshan District chosen
    Longshan District is an urban administrative district that serves as the central area and seat of government for the prefecture-level city of Liaoyuan in Jilin Province, China.
  • B. Zhangdian District
    Zhangdian District is the central urban district and administrative, commercial, and transportation hub of Zibo in Shandong Province, China.
  • C. Taishan District
    Taishan District is an urban administrative district within Tai'an City in Shandong Province, China, known for its proximity to the culturally significant Mount Tai.
  • D. Taishan District
    Taishan District is an urban district of New Taipei City in northern Taiwan, known for its residential communities and educational institutions.
  • E. Quanshan District
    Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12919dd388190b8ca08e2464cb0b8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.