Triple

T11234703
Position Surface form Disambiguated ID Type / Status
Subject Rangpur Division E265912 entity
Predicate containsDistrict P22582 FINISHED
Object Rangpur District E510413 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: Rangpur District | Statement: [Rangpur Division, containsDistrict, Rangpur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangpur District
Context triple: [Rangpur Division, containsDistrict, Rangpur District]
  • A. Rangpur Division
    Rangpur Division is an administrative region in northern Bangladesh known for its agricultural economy, historic towns, and location along major rivers including the Teesta.
  • B. Chattogram District
    Chattogram District is a major administrative and commercial region in southeastern Bangladesh that includes the country’s principal port city of Chattogram.
  • C. Rangpur chosen
    Rangpur is a city in northern Bangladesh known as a regional administrative, cultural, and commercial center.
  • D. Kishoreganj District
    Kishoreganj District is an administrative district in central Bangladesh known for its riverine landscape, cultural heritage, and agricultural economy.
  • E. Sylhet Division
    Sylhet Division is an administrative region in northeastern Bangladesh known for its tea gardens, lush hills, and significant cultural and economic importance.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3049e788190a7caf324a4b793d2 completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:30 p.m.