Triple

T23462209
Position Surface form Disambiguated ID Type / Status
Subject Musha E569010 entity
Predicate nearbyCity P350 FINISHED
Object Wushe 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: Wushe | Statement: [Musha, nearbyCity, Wushe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wushe
Context triple: [Musha, nearbyCity, Wushe]
  • A. Wushe chosen
    Wushe is a mountainous region in central Taiwan historically inhabited by Indigenous Seediq people and known as the site of the 1930 Wushe Incident.
  • B. Bekwai
    Bekwai is a town in the Ashanti Region of Ghana, known as a local commercial and administrative center.
  • C. Lu’an
    Lu’an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain, tea production, and historical sites.
  • D. Tealing
    Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
  • E. Temeswar
    Temeswar (Timișoara) is a major city in western Romania known for its multicultural heritage and role in the 1989 Romanian Revolution.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69cf7c48190b4d44e500f955b99 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:54 p.m.