Triple

T17612667
Position Surface form Disambiguated ID Type / Status
Subject AGC E429000 entity
Predicate servesDistrict P82 FINISHED
Object Agra district NE NERFINISHED

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: Agra district | Statement: [AGC, servesDistrict, Agra district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra district
Context triple: [AGC, servesDistrict, Agra district]
  • A. Agra district chosen
    Agra district is an administrative district in the Indian state of Uttar Pradesh, best known for encompassing the city of Agra, home to the Taj Mahal.
  • B. Agra division
    Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
  • C. Ayodhya district
    Ayodhya district is an administrative region in the Indian state of Uttar Pradesh, renowned as a major Hindu pilgrimage center and the site of the revered city of Ayodhya.
  • D. Agra Province
    Agra Province was a major administrative region of British India centered on the city of Agra, forming part of the North-Western Provinces under colonial rule.
  • E. Agra metropolitan area
    The Agra metropolitan area is the urban agglomeration centered on the historic city of Agra in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite localities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2eaa348190a8226eef8c0d6e31 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.