Triple

T6576863
Position Surface form Disambiguated ID Type / Status
Subject Kaxabu language E157187 entity
Predicate isSpokenIn P7445 FINISHED
Object Nantou County E125431 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: Nantou County | Statement: [Kaxabu language, isSpokenIn, Nantou County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantou County
Context triple: [Kaxabu language, isSpokenIn, Nantou County]
  • A. Nantou County chosen
    Nantou County is a mountainous county in central Taiwan known for its indigenous communities, scenic landscapes like Sun Moon Lake, and its role in significant historical events.
  • B. Chiayi County
    Chiayi County is a largely rural county in southwestern Taiwan known for its agriculture, cultural attractions, and proximity to scenic areas such as Alishan.
  • C. Yunlin County
    Yunlin County is a largely rural county in western Taiwan known for its extensive agricultural production and traditional cultural heritage.
  • D. Miaoli County
    Miaoli County is a largely rural county in northwestern Taiwan known for its Hakka cultural heritage, mountainous landscapes, and agricultural communities.
  • E. Changhua County
    Changhua County is a largely agricultural and coastal county in central-western Taiwan, known for its fertile plains, historic temples, and dense population.
  • 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_69c71a62bf8c8190b4b24b543e9095fa completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 1:54 p.m.