Triple

T20420617
Position Surface form Disambiguated ID Type / Status
Subject Henggang Subdistrict E500836 entity
Predicate locatedNear P294 FINISHED
Object Pingshan 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: Pingshan District | Statement: [Henggang Subdistrict, locatedNear, Pingshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingshan District
Context triple: [Henggang Subdistrict, locatedNear, Pingshan District]
  • A. Pingshan District chosen
    Pingshan District is an administrative district in the eastern part of Shenzhen, China, known for its emerging high-tech industries and rapid urban development.
  • B. Pingshan District
    Pingshan District is an urban administrative district under the jurisdiction of Benxi City in Liaoning Province, China, known for its role in the region’s industrial and residential development.
  • C. Pengjiang District
    Pengjiang District is the central urban district and administrative, economic, and cultural core of Jiangmen City in Guangdong Province, China.
  • D. Heshan District
    Heshan District is an urban administrative district under the jurisdiction of the prefecture-level city of Hebi in Henan Province, China.
  • E. Gaoming District
    Gaoming District is an administrative district of the city of Foshan in Guangdong Province, China, known for its mix of urban development and manufacturing-based economy.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba39f7081909358f1103a0f241c completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.