Triple

T2930602
Position Surface form Disambiguated ID Type / Status
Subject Kumaon E78950 entity
Predicate hasTown P847 FINISHED
Object Champawat E376205 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: Champawat | Statement: [Kumaon, hasTown, Champawat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champawat
Context triple: [Kumaon, hasTown, Champawat]
  • A. Champawat chosen
    Champawat is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its historical temples and scenic Himalayan setting.
  • B. Khumbu
    Khumbu is a high-altitude region in northeastern Nepal famed for encompassing the Everest area and serving as the homeland of the Sherpa people.
  • C. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • D. Shkhara
    Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
  • E. Dhaulagiri
    Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980191388190ac2455a7d9867be3 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488165eb48190ae5b080862919caf completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 2:55 p.m.