Triple

T7717797
Position Surface form Disambiguated ID Type / Status
Subject Lienchiang County E174930 entity
Predicate hasTownship P22464 FINISHED
Object Beigan Township E665469 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: Beigan Township | Statement: [Lienchiang County, hasTownship, Beigan Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beigan Township
Context triple: [Lienchiang County, hasTownship, Beigan Township]
  • A. Beigan Township chosen
    Beigan Township is an island township in Taiwan’s Lienchiang County, known as part of the Matsu Islands archipelago near the coast of mainland China.
  • B. Evanturel Township
    Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
  • C. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • D. Marquette Township
    Marquette Township is a civil township in Marquette County in Michigan’s Upper Peninsula, known for its mix of residential communities, commercial development, and proximity to Lake Superior.
  • E. O'Hara Township
    O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ceb23481909600f876023dde92 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b510650481908d65838108a2d632 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:05 p.m.