Triple

T5183545
Position Surface form Disambiguated ID Type / Status
Subject Jagadish Chandra Bose E116976 entity
Predicate birthPlace P1 FINISHED
Object Mymensingh E128922 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: Mymensingh | Statement: [Jagadish Chandra Bose, birthPlace, Mymensingh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mymensingh
Context triple: [Jagadish Chandra Bose, birthPlace, Mymensingh]
  • A. Mymensingh chosen
    Mymensingh is a historic city and district in central Bangladesh, known as an important administrative, educational, and cultural center along the Brahmaputra River.
  • B. Sylhet
    Sylhet is a historically and culturally significant city and region in northeastern Bangladesh, known for its tea gardens, lush landscapes, and role as a major economic and spiritual center.
  • C. Dinajpur
    Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
  • D. Faridpur
    Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
  • E. Gopalganj
    Gopalganj is a town and administrative center in the northern Indian state of Bihar, known primarily for its agricultural economy and role as a local commercial hub.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799eb90c8190b738e9478699180f completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f6b98c8190bbc4f123560d32f4 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:46 p.m.