Triple

T9705515
Position Surface form Disambiguated ID Type / Status
Subject Jincheng Township E234887 entity
Predicate borderedBy P224 FINISHED
Object Jinsha Township E248728 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: Jinsha Township | Statement: [Jincheng Township, borderedBy, Jinsha Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinsha Township
Context triple: [Jincheng Township, borderedBy, Jinsha Township]
  • A. Jinsha Township chosen
    Jinsha Township is a rural township in Kinmen County, Taiwan, known for its coastal scenery, military history, and traditional Minnan culture.
  • B. Yuchi Township
    Yuchi Township is a rural township in Nantou County, Taiwan, best known as the location of the scenic Sun Moon Lake.
  • C. Linluo Township
    Linluo Township is a rural administrative township located in Pingtung County in southern Taiwan.
  • D. Baisha Township
    Baisha Township is a rural coastal township in Penghu County, Taiwan, known for its island scenery, traditional fishing villages, and role as a key link in the Penghu archipelago.
  • E. Jinhu Township
    Jinhu Township is a rural coastal township in Kinmen County, Taiwan, known for its military history, traditional villages, and role as a frontline outpost near mainland 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da369b4819081f6ce01289ed725 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f800ec48190bc3028ecb3baeb28 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.