Triple

T15128082
Position Surface form Disambiguated ID Type / Status
Subject Pranab Mukherjee E361342 entity
Predicate constituencyRepresented P192 FINISHED
Object Jangipur, West Bengal E205375 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: Jangipur, West Bengal | Statement: [Pranab Mukherjee, constituencyRepresented, Jangipur, West Bengal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jangipur, West Bengal
Context triple: [Pranab Mukherjee, constituencyRepresented, Jangipur, West Bengal]
  • A. Jangipur chosen
    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.
  • B. Jaigaon
    Jaigaon is a bustling Indian border town in West Bengal that serves as a major commercial gateway to Bhutan, directly adjoining the Bhutanese town of Phuentsholing.
  • C. Jagatballavpur
    Jagatballavpur is a town and administrative block in the Howrah district of West Bengal, India, known for its semi-urban character and proximity to the Kolkata metropolitan region.
  • D. Rampurhat
    Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
  • E. Karimganj
    Karimganj is a town in the Indian state of Assam, known as a commercial and administrative center near the India–Bangladesh border.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.