Triple

T6301123
Position Surface form Disambiguated ID Type / Status
Subject Truku language E141256 entity
Predicate spokenIn P2266 FINISHED
Object Hualien County E557672 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: Hualien County | Statement: [Truku language, spokenIn, Hualien County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hualien County
Context triple: [Truku language, spokenIn, Hualien County]
  • A. Hualien County chosen
    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.
  • B. Taitung County
    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.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c3b6cdc8190ad9e10957e301a57 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:27 p.m.