Triple

T7466967
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E176395 entity
Predicate containsDistrict P22582 FINISHED
Object Magura District E550758 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: Magura District | Statement: [Khulna Division, containsDistrict, Magura District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magura District
Context triple: [Khulna Division, containsDistrict, 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. Sangin District
    Sangin District is a rural administrative district in northern Helmand Province, Afghanistan, known for its strategic location and intense military activity during the Afghan conflict.
  • D. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • E. Gusu District
    Gusu District is the central urban district of Suzhou, China, known for its historic canals, classical gardens, and well-preserved ancient cityscape.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f589cc81909f25268838c7c964 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5f1f408190a7d42abe28605ddb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:40 p.m.