Triple

T22227508
Position Surface form Disambiguated ID Type / Status
Subject Municipal Commissioner office of Meerut E549381 entity
Predicate locatedIn P40 FINISHED
Object Meerut 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: Meerut | Statement: [Municipal Commissioner office of Meerut, locatedIn, Meerut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meerut
Context triple: [Municipal Commissioner office of Meerut, locatedIn, Meerut]
  • A. Meerut chosen
    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.
  • B. Ghaziabad
    Ghaziabad is a major industrial and residential city in the Indian state of Uttar Pradesh, forming part of the National Capital Region near Delhi.
  • C. Ghaziabad
    Ghaziabad is a village located in the scenic Jhelum Valley region of Azad Jammu and Kashmir, Pakistan.
  • D. Gautam Nagar
    Gautam Nagar is a residential locality in South Delhi, India, known for its proximity to major institutions like AIIMS and Safdarjung Hospital.
  • E. Bareilly
    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.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12befe38c8190b547586e41b099b1 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.