Triple

T16070788
Position Surface form Disambiguated ID Type / Status
Subject Karnal E389853 entity
Predicate administrativeDivision P747 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: [Karnal, administrativeDivision, Karnal division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karnal division
Context triple: [Karnal, administrativeDivision, 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeeb32348190a1896059479c236c completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:57 a.m.