Triple

T13122813
Position Surface form Disambiguated ID Type / Status
Subject Bhutanese armed forces E311766 entity
Predicate headquartersLocation P62 FINISHED
Object Thimphu E79074 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: Thimphu | Statement: [Bhutanese armed forces, headquartersLocation, Thimphu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thimphu
Context triple: [Bhutanese armed forces, headquartersLocation, Thimphu]
  • A. Thimphu chosen
    Thimphu is the largest city of Bhutan and its political, economic, and cultural center, located in the western part of the country in the Himalayas.
  • B. Lhasa
    Lhasa is the historic and spiritual center of Tibet, renowned for its ancient monasteries and the Potala Palace, former residence of the Dalai Lama.
  • C. Punakha
    Punakha is a historic town in western Bhutan that served as the country’s former capital and is known for the majestic Punakha Dzong at the meeting of two rivers.
  • D. Kathmandu
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • E. Thimphu Valley
    Thimphu Valley is the central, densely populated valley of Bhutan’s capital region, known for its cultural landmarks, royal residences, and surrounding Himalayan landscapes.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819840b881909b76022b4c4dcaed completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a25c3b4819090511525babcd2ba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:07 p.m.