Triple

T6576854
Position Surface form Disambiguated ID Type / Status
Subject Kaxabu language E157187 entity
Predicate region P40 FINISHED
Object central Taiwan E539989 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: central Taiwan | Statement: [Kaxabu language, region, central Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Taiwan
Context triple: [Kaxabu language, region, central Taiwan]
  • A. central Taiwan chosen
    Central Taiwan is the mid-region of Taiwan Island, characterized by its mountainous terrain, indigenous communities, and a mix of agricultural and urban centers.
  • B. northern Taiwan
    Northern Taiwan is the island’s most urbanized and economically developed region, encompassing the capital Taipei and its surrounding metropolitan areas.
  • C. southern Taiwan
    Southern Taiwan is the lower region of Taiwan Island known for its warm climate, agriculture, and historic role in various uprisings and political movements.
  • D. Central Tai
    Central Tai is a branch of the Tai language family spoken in parts of Southeast Asia, distinct from but closely related to the Southwestern Tai languages.
  • E. western Taiwan
    Western Taiwan is the island’s most densely populated and economically developed region, encompassing major cities, industrial hubs, and much of its political and cultural activity.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.