Triple

T16681744
Position Surface form Disambiguated ID Type / Status
Subject Indian Military Academy E405355 entity
Predicate alsoKnownAs P39 FINISHED
Object IMA Dehradun E405355 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: IMA Dehradun | Statement: [Indian Military Academy, alsoKnownAs, IMA Dehradun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMA Dehradun
Context triple: [Indian Military Academy, alsoKnownAs, IMA Dehradun]
  • A. IMA Dehradun chosen
    IMA Dehradun is a premier Indian military training institution that prepares officers for commissioning into the Indian Army.
  • B. Chirag Delhi
    Chirag Delhi is a historic urban village and residential neighborhood located in the South Delhi district of India’s capital, New Delhi.
  • C. Dehradun
    Dehradun is the capital city of the Indian state of Uttarakhand, known for its scenic Himalayan foothills, educational institutions, and role as a gateway to nearby hill stations and pilgrimage sites.
  • D. Umarkhed
    Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
  • E. Sidhi
    Sidhi is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its nearby coal mining areas and natural resources.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d7018448190b3cb23191322044e completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a404f448190a9dc7831382ffcdc completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.