Triple

T19099065
Position Surface form Disambiguated ID Type / Status
Subject Betul Bazar E467481 entity
Predicate hasNameInLanguage P15 FINISHED
Object Betul Bazar (English transliteration) NE NERFINISHED

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: Betul Bazar (English transliteration) | Statement: [Betul Bazar, hasNameInLanguage, Betul Bazar (English transliteration)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betul Bazar (English transliteration)
Context triple: [Betul Bazar, hasNameInLanguage, Betul Bazar (English transliteration)]
  • A. English Bazar
    English Bazar, also known as Malda, is a major town and commercial hub in the Malda district of West Bengal, India.
  • B. Paltan Bazar
    Paltan Bazar is a busy commercial and transportation hub in Guwahati, Assam, known for its markets, hotels, and proximity to the city’s main railway station.
  • C. Betul chosen
    Betul is a town and administrative center in central India, known for its location in the Satpura plateau region of Madhya Pradesh.
  • D. Korotia Bazar
    Korotia Bazar is a well-known local marketplace in the Tangail region of Bangladesh, serving as a commercial hub for surrounding communities.
  • E. Bakshibazar
    Bakshibazar is a historic neighborhood in Dhaka, Bangladesh, known for its educational institutions, dense urban setting, and proximity to key civic and commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36c55688190b4a5135ea10c9924 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.