Triple

T8309783
Position Surface form Disambiguated ID Type / Status
Subject Khumbu E194560 entity
Predicate mainTown P13187 FINISHED
Object Namche Bazaar E128162 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: Namche Bazaar | Statement: [Khumbu, mainTown, Namche Bazaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namche Bazaar
Context triple: [Khumbu, mainTown, Namche Bazaar]
  • A. Namche Bazaar chosen
    Namche Bazaar is a famous Sherpa town in Nepal’s Khumbu region that serves as the main gateway and acclimatization stop for trekkers and climbers heading toward Mount Everest.
  • B. Dingboche
    Dingboche is a high-altitude Sherpa village in Nepal’s Everest region, commonly used as an acclimatization stop on the trekking route to Everest Base Camp.
  • C. Pangboche
    Pangboche is a high-altitude Sherpa village in Nepal’s Khumbu region, known as a traditional stop on the trekking route to Everest Base Camp.
  • D. Neiafu
    Neiafu is the main town and administrative center of the Vavaʻu island group in the Kingdom of Tonga, known for its scenic harbor and role as a hub for tourism and local commerce.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb37161081908452cc449b4e903e completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 5:54 p.m.