Triple

T22038773
Position Surface form Disambiguated ID Type / Status
Subject VIBY E544283 entity
Predicate locatedIn P40 FINISHED
Object Bareilly 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: Bareilly | Statement: [VIBY, locatedIn, Bareilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bareilly
Context triple: [VIBY, locatedIn, Bareilly]
  • A. Bareilly chosen
    Bareilly is a historic city in the Indian state of Uttar Pradesh, known as a major center of the 1857 uprising against British colonial rule and now an important commercial and cultural hub.
  • B. Bulandshahr
    Bulandshahr is a city in the Indian state of Uttar Pradesh known for its historical significance and proximity to Delhi within the broader metropolitan region.
  • C. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • D. Farrukhabad
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • E. Meerut
    Meerut is a historic city in the Indian state of Uttar Pradesh, known as the place where the Indian Rebellion of 1857 first erupted against British colonial rule.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f42b48819095b04bad34e0e3c4 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.