Triple

T9886344
Position Surface form Disambiguated ID Type / Status
Subject Khulna Division E180941 entity
Predicate containsCity P294 FINISHED
Object Narail E547901 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: Narail | Statement: [Khulna Division, containsCity, Narail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narail
Context triple: [Khulna Division, containsCity, Narail]
  • A. Narail District chosen
    Narail District is an administrative district in southwestern Bangladesh, known for its rivers, agriculture, and cultural heritage.
  • B. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • C. Baria
    Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
  • D. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • E. Natore District
    Natore District is an administrative region in northern Bangladesh known for its agricultural economy, historical sites, and proximity to the city of Rajshahi.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eafc76b0819098e481bb17a3af2b completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.