Triple

T15462565
Position Surface form Disambiguated ID Type / Status
Subject Mustang District E371939 entity
Predicate contains P35 FINISHED
Object Jomsom Airport E712091 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: Jomsom Airport | Statement: [Mustang District, contains, Jomsom Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jomsom Airport
Context triple: [Mustang District, contains, Jomsom Airport]
  • A. Jomsom Airport chosen
    Jomsom Airport is a small domestic airport in Nepal that serves as the main air gateway to the Mustang region and the Annapurna trekking area.
  • B. Kushok Bakula Rimpochee Airport
    Kushok Bakula Rimpochee Airport is a high-altitude civilian airport in Leh, Ladakh, serving as a key air gateway to the Indian Himalayas.
  • C. Paro Airport
    Paro Airport is Bhutan’s primary international airport, known for its challenging approach amid steep mountains and limited number of pilots certified to land there.
  • D. Donyi Polo Airport
    Donyi Polo Airport is a domestic airport serving Itanagar and the surrounding region in the northeastern Indian state of Arunachal Pradesh.
  • E. Lukla Airport
    Lukla Airport is a small, high-altitude airstrip in Nepal’s Khumbu region that serves as the primary gateway for trekkers and climbers heading toward Mount Everest.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365504488190a6f43d82d008c855 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:32 a.m.