Triple

T12993138
Position Surface form Disambiguated ID Type / Status
Subject Kohalpur E321965 entity
Predicate locatedIn P40 FINISHED
Object Banke District E1022734 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: Banke District | Statement: [Kohalpur, locatedIn, Banke District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banke District
Context triple: [Kohalpur, locatedIn, Banke District]
  • A. Banke District chosen
    Banke District is an administrative district in Nepal’s Lumbini Province, known for its headquarters Nepalgunj and its location in the fertile Terai plains near the Indian border.
  • B. Nam District
    Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
  • C. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • D. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • E. Arua District
    Arua District is an administrative district in northwestern Uganda known for its strategic location near the borders with the Democratic Republic of the Congo and South Sudan and its role as a regional commercial hub.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eacea664819096940ba4d409d264 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:44 p.m.