Triple

T11234697
Position Surface form Disambiguated ID Type / Status
Subject Rangpur Division E265912 entity
Predicate containsCity P294 FINISHED
Object Kurigram E671576 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: Kurigram | Statement: [Rangpur Division, containsCity, Kurigram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurigram
Context triple: [Rangpur Division, containsCity, Kurigram]
  • A. Kurigram District chosen
    Kurigram District is a northern administrative region of Bangladesh known for its rural landscape along the Brahmaputra River and frequent flooding.
  • B. Baripada
    Baripada is a prominent town and district headquarters in the Mayurbhanj district of Odisha, India, known for its cultural heritage and proximity to the Simlipal National Park.
  • C. Pabna
    Pabna is a town and district in present-day Bangladesh, historically part of British India's Bengal region and known for its role in agrarian movements and regional administration.
  • D. Dinajpur
    Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
  • E. Bandarban
    Bandarban is a hilly district and popular tourist destination in southeastern Bangladesh, known for its scenic landscapes, indigenous communities, and proximity to the country’s highest peaks.
  • 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_69e58af8bc988190805168188ed0a6aa completed April 20, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:30 p.m.