Triple

T18306724
Position Surface form Disambiguated ID Type / Status
Subject Sanxia District E438504 entity
Predicate borderedBy P224 FINISHED
Object Daxi District E164200 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: Daxi District | Statement: [Sanxia District, borderedBy, Daxi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daxi District
Context triple: [Sanxia District, borderedBy, Daxi District]
  • A. Daxi District chosen
    Daxi District is a historic district in Taoyuan, Taiwan, known for its preserved old streets, traditional wooden architecture, and cultural heritage.
  • B. Shuncheng District
    Shuncheng District is an urban district and administrative center of Fushun City in Liaoning Province, northeastern China.
  • C. Shenkeng District
    Shenkeng District is a suburban district of New Taipei City in northern Taiwan, best known for its historic old street and specialty stinky tofu cuisine.
  • D. Tiedong District
    Tiedong District is an urban administrative district of Anshan City in Liaoning Province, northeastern China.
  • E. Nanpiao District
    Nanpiao District is an administrative district under the jurisdiction of Huludao City in Liaoning Province, northeastern China.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7c569a481909b595b0517fbee7d completed May 16, 2026, 8:47 p.m.
Created at: April 10, 2026, 10:35 a.m.