Triple

T7710397
Position Surface form Disambiguated ID Type / Status
Subject Biswanath district E174734 entity
Predicate hasCity P316 FINISHED
Object Biswanath Chariali E690854 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: Biswanath Chariali | Statement: [Biswanath district, hasCity, Biswanath Chariali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biswanath Chariali
Context triple: [Biswanath district, hasCity, Biswanath Chariali]
  • A. Biswanath Chariali chosen
    Biswanath Chariali is a town in the Indian state of Assam known as an administrative, commercial, and cultural center for the surrounding region.
  • B. Biswambhar Roy
    Biswambhar Roy is the aristocratic, music-obsessed zamindar whose tragic decline is portrayed in Satyajit Ray’s classic film "Jalsaghar."
  • C. Pradip Bose
    Pradip Bose is a computer engineer and researcher known for his contributions to microprocessor architecture and performance analysis, particularly at IBM.
  • D. Niranjan Pal
    Niranjan Pal was an Indian playwright and screenwriter associated with early Indian cinema and the Indian independence movement.
  • E. Bibhu Bhattacharya
    Bibhu Bhattacharya was an Indian actor best known for playing the character Jatayu in Satyajit Ray’s Feluda series of films and television adaptations.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ad6b788190892b96ab523d111f completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c95ffa6a3c819089aa939b164dbcaa completed March 29, 2026, 5:23 p.m.
Created at: March 27, 2026, 4:04 p.m.