Triple

T3731635
Position Surface form Disambiguated ID Type / Status
Subject Druk Gyalpo E79076 entity
Predicate seat P75 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: [Druk Gyalpo, seat, Thimphu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thimphu
Context triple: [Druk Gyalpo, seat, 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. Kathmandu
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • D. Jomsom
    Jomsom is a popular town in Nepal’s Mustang region, known as a trekking hub on the Annapurna Circuit and a gateway to the Kali Gandaki Valley.
  • E. Phuentsholing
    Phuentsholing is a major Bhutanese border town and commercial hub located on the frontier with India, serving as a key gateway into the country.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb21002c81908438170ed6f6c271 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb074a9881909afec640a5a208c6 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:34 p.m.