Triple

T22170262
Position Surface form Disambiguated ID Type / Status
Subject Narail District E547901 entity
Predicate bordersDistrict P224 FINISHED
Object Magura District NE NERFINISHED

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: Magura District | Statement: [Narail District, bordersDistrict, Magura District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magura District
Context triple: [Narail District, bordersDistrict, Magura District]
  • A. Magura District chosen
    Magura District is an administrative region in southwestern Bangladesh known for its agricultural economy and location within the Khulna Division.
  • B. Yosa District
    Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
  • C. Kamonyi District
    Kamonyi District is an administrative district in Rwanda’s Southern Province, located just south of Kigali and known for its largely rural communities and agricultural activities.
  • D. Hakui District
    Hakui District is a rural administrative district located in Ishikawa Prefecture on Japan’s Honshu island, known for its coastal landscapes and small towns.
  • E. Baita District
    Baita District is an urban administrative district within the city of Liaoyang in Liaoning Province, northeastern China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a67f4dc81909cc5f8d2c1fe6129 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.