Triple

T13885760
Position Surface form Disambiguated ID Type / Status
Subject Una district E333838 entity
Predicate partOf P40 FINISHED
Object Jalandhar Division E470669 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: Jalandhar Division | Statement: [Una district, partOf, Jalandhar Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalandhar Division
Context triple: [Una district, partOf, Jalandhar Division]
  • A. Jalandhar division chosen
    Jalandhar division is an administrative division in the Indian state of Punjab that encompasses several districts, including Jalandhar and Kapurthala.
  • B. 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.
  • C. Karnal division
    Karnal division is an administrative division in the Indian state of Haryana that includes districts such as Karnal and Panipat.
  • D. Patiala division
    Patiala division is an administrative division in the Indian state of Punjab that includes districts such as Sangrur.
  • E. Jammu Division
    Jammu Division is the southern administrative and cultural region of the Indian union territory of Jammu and Kashmir, known for its Dogra heritage and Dogri-speaking population.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c716166c8190a6323f8c01de06a5 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.