Triple

T15270253
Position Surface form Disambiguated ID Type / Status
Subject Lumbini Province E365001 entity
Predicate containsDistrict P22582 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: [Lumbini Province, containsDistrict, Banke District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banke District
Context triple: [Lumbini Province, containsDistrict, 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. Amuria District
    Amuria District is an administrative district in northeastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • D. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • E. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.