Triple

T1437548
Position Surface form Disambiguated ID Type / Status
Subject Assam Legislative Assembly E30590 entity
Predicate locatedIn P40 FINISHED
Object Dispur E30588 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: [Assam Legislative Assembly, locatedIn, Dispur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dispur
Context triple: [Assam Legislative Assembly, locatedIn, Dispur]
  • A. 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.
  • B. Kolkata Cantonment
    Kolkata Cantonment is a major military cantonment area in Kolkata, India, housing key army installations and administrative facilities.
  • C. Durgapur
    Durgapur is a major industrial city in eastern India known for its steel plants and planned urban infrastructure.
  • D. Guwahati chosen
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • E. Kharagpur
    Kharagpur is an industrial city in eastern India best known for hosting the first campus of the Indian Institute of Technology (IIT Kharagpur) and one of the country’s longest railway platforms.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5059ef88190af20e796acdb2058 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69aebeee5a808190981c06b78d30f004 completed March 9, 2026, 12:37 p.m.
Created at: March 1, 2026, 8 p.m.