Triple

T17128342
Position Surface form Disambiguated ID Type / Status
Subject Nilokheri E415655 entity
Predicate belongsToDivision P32197 FINISHED
Object Karnal division E358338 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: Karnal division | Statement: [Nilokheri, belongsToDivision, Karnal division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karnal division
Context triple: [Nilokheri, belongsToDivision, Karnal division]
  • A. Karnal division chosen
    Karnal division is an administrative division in the Indian state of Haryana that includes districts such as Karnal and Panipat.
  • B. Jalandhar division
    Jalandhar division is an administrative division in the Indian state of Punjab that encompasses several districts, including Jalandhar and Kapurthala.
  • C. Amritsar division
    Amritsar division is an administrative division in the Indian state of Punjab, centered around the city of Amritsar and comprising several surrounding districts.
  • D. Patiala division
    Patiala division is an administrative division in the Indian state of Punjab that includes districts such as Sangrur.
  • E. Karnal district
    Karnal district is an administrative region in northern India known for its agricultural productivity and historical significance within the state of Haryana.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0285a408190ae5e4c4679c07fbf completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016741fe6c81908ebbb022749915ab completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:36 a.m.