Triple

T27766867
Position Surface form Disambiguated ID Type / Status
Subject 客家人 E701622 entity
Predicate 代表地区 P127010 FINISHED
Object 福建永定 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: 福建永定 | Statement: [客家人, 代表地区, 福建永定]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 代表地区
Context triple: [客家人, 代表地区, 福建永定]
  • A. represented region
    Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
  • B. representsRegionIn
    Indicates that one entity serves as a representation or depiction of a specific geographic or administrative region.
  • C. primaryRegionRepresented chosen
    Indicates the main geographic or administrative region that an entity officially represents or speaks for.
  • D. representedInRegionBy
    Indicates that something’s presence, extent, or characteristics within a region are captured or modeled by a specific representation associated with that region.
  • E. politicalRegionRepresented
    Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
  • F. None of above.

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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 4:31 p.m.