Triple

T21999026
Position Surface form Disambiguated ID Type / Status
Subject Mayurbhanj district E543276 entity
Predicate containsTown P847 FINISHED
Object Rairangpur 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: Rairangpur | Statement: [Mayurbhanj district, containsTown, Rairangpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rairangpur
Context triple: [Mayurbhanj district, containsTown, Rairangpur]
  • A. Rairangpur chosen
    Rairangpur is a town and legislative assembly constituency in the Mayurbhanj district of Odisha, India, known as the political base of President Droupadi Murmu.
  • B. Bikapur
    Bikapur is a town and administrative subdivision in the Ayodhya district of Uttar Pradesh, India, known for its proximity to the historic city of Ayodhya.
  • C. Agargaon
    Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
  • D. Jangipur
    Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
  • E. Dharmanagar
    Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local commercial and administrative center.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12768c0088190b0c8d5cd9b7bf710 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.