Triple

T16662166
Position Surface form Disambiguated ID Type / Status
Subject Trongsa Dzong E404884 entity
Predicate locatedIn P40 FINISHED
Object Trongsa District E404884 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: Trongsa District | Statement: [Trongsa Dzong, locatedIn, Trongsa District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trongsa District
Context triple: [Trongsa Dzong, locatedIn, Trongsa District]
  • A. Trongsa District chosen
    Trongsa District is a central district of Bhutan known for its strategic location, historical significance, and the prominent Trongsa Dzong overlooking the Mangde Chhu valley.
  • B. Song Phi Nong District
    Song Phi Nong District is an administrative district in central Thailand known for its agricultural landscape and location within Suphan Buri Province.
  • C. Mae La Noi District
    Mae La Noi District is a rural administrative district in northern Thailand known for its mountainous terrain and location within Mae Hong Son Province near the Myanmar border.
  • D. Vu Ban District
    Vu Ban District is a rural administrative district located within Nam Định Province in the Red River Delta region of northern Vietnam.
  • E. Dam Doi District
    Dam Doi District is a rural administrative district in Cà Mau Province in Vietnam’s Mekong Delta region.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c99efa8819096c6325ff4898bd7 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.