Triple

T6184435
Position Surface form Disambiguated ID Type / Status
Subject Thao language E138020 entity
Predicate region P40 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: [Thao language, region, Nantou County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantou County
Context triple: [Thao language, region, 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_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_69c6636ff608819087e25c2453220d93 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:19 p.m.