Triple

T6382612
Position Surface form Disambiguated ID Type / Status
Subject Puyuma language E143620 entity
Predicate spokenIn P2266 FINISHED
Object Taitung County E144047 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: Taitung County | Statement: [Puyuma language, spokenIn, Taitung County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitung County
Context triple: [Puyuma language, spokenIn, Taitung County]
  • A. Taitung County chosen
    Taitung County is a largely rural coastal county in southeastern Taiwan known for its indigenous cultures, scenic Pacific coastline, and relatively low level of urban development.
  • B. Hualien County
    Hualien County is a largely mountainous and coastal county on Taiwan’s eastern shore, known for its dramatic Pacific coastline and the famous Taroko Gorge.
  • C. Ping-tung County
    Ping-tung County is a largely rural county at the southern tip of Taiwan, known for its tropical climate, coastal scenery, and attractions such as Kenting National Park.
  • D. Yilan County
    Yilan County is a scenic coastal county in northeastern Taiwan known for its mountains, hot springs, and cultural festivals.
  • E. Yunlin County
    Yunlin County is a largely rural county in western Taiwan known for its extensive agricultural production and traditional cultural heritage.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06854eb608190acb6bb4dc466f0fc completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50184a081908286d92166fd1c00 completed March 27, 2026, 7:05 p.m.
Created at: March 22, 2026, 4:34 p.m.