Triple

T8734862
Position Surface form Disambiguated ID Type / Status
Subject Arughat E207352 entity
Predicate locatedIn P40 FINISHED
Object Gorkha District E376221 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: Gorkha District | Statement: [Arughat, locatedIn, Gorkha District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorkha District
Context triple: [Arughat, locatedIn, Gorkha District]
  • A. Gorkha District chosen
    Gorkha District is a hilly district in central Nepal known as the historic homeland of the Shah dynasty and the unification of modern Nepal.
  • B. Ramechhap District
    Ramechhap District is an administrative region in central Nepal known for its hilly terrain, rural settlements, and river valleys shaped by major waterways like the Sun Kosi.
  • C. Sindhuli District
    Sindhuli District is a hilly administrative region in central Nepal known for its strategic location along major river systems and historic trade routes between the Terai plains and the Kathmandu Valley.
  • D. Sankhuwasabha District
    Sankhuwasabha District is a mountainous district in eastern Nepal known for encompassing part of the Himalayas, including the area around Mount Makalu.
  • E. Sindhupalchok District
    Sindhupalchok District is a hilly district in central Nepal known for its rugged terrain, hydropower potential, and severe damage during the 2015 earthquake.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2b89988190bb7671e273026046 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa02a610c8190b3a63f52c7bda7b2 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:37 p.m.