Triple

T2136351
Position Surface form Disambiguated ID Type / Status
Subject Barak Valley E46662 entity
Predicate majorTown P316 FINISHED
Object Karimganj E222835 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: Karimganj | Statement: [Barak Valley, majorTown, Karimganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karimganj
Context triple: [Barak Valley, majorTown, Karimganj]
  • A. Karimganj chosen
    Karimganj is a town in the Indian state of Assam, known as a commercial and administrative center near the India–Bangladesh border.
  • B. 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.
  • C. Buxar
    Buxar is a historic town in the Indian state of Bihar, best known as the site of a pivotal 1764 battle that cemented British colonial dominance in northern India.
  • D. Krishnanagar
    Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
  • E. Raiganj
    Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aee10b08190abeb6059d4d2ad0a completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:44 p.m.