Triple

T6184427
Position Surface form Disambiguated ID Type / Status
Subject Thao language E138020 entity
Predicate spokenIn P2266 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: [Thao language, spokenIn, central Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Taiwan
Context triple: [Thao language, spokenIn, 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.