Triple

T7166010
Position Surface form Disambiguated ID Type / Status
Subject Guwahati Planetarium E167068 entity
Predicate nearbyCity P350 FINISHED
Object Dispur E644413 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: Dispur | Statement: [Guwahati Planetarium, nearbyCity, Dispur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dispur
Context triple: [Guwahati Planetarium, nearbyCity, Dispur]
  • A. Dispur chosen
    Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
  • B. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • C. Konnagar
    Konnagar is a suburban town in West Bengal, India, situated along the Hooghly River and known as part of the Kolkata metropolitan area.
  • D. Kolkata Cantonment
    Kolkata Cantonment is a major military cantonment area in Kolkata, India, housing key army installations and administrative facilities.
  • E. Jadavpur, Kolkata
    Jadavpur, Kolkata is a prominent residential and educational neighborhood in south Kolkata, India, known for housing major institutions such as Jadavpur University.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8275b07d08190a796f2b9884fcc33 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:48 p.m.