Triple

T12386084
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Panihati E165052 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: Panihati | Statement: [Kolkata Metropolitan Area, containsCity, Panihati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panihati
Context triple: [Kolkata Metropolitan Area, containsCity, Panihati]
  • A. Panihati chosen
    Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
  • B. Sutikshna
    Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
  • C. Bhadar
    Bhadar is a river in the Saurashtra region of Gujarat, India, known for supporting irrigation and local ecosystems along its course.
  • D. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • E. Prishati
    Prishati is a relatively obscure figure in the Mahabharata tradition, known primarily as the mother of Draupadi.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.