Triple

T10630134
Position Surface form Disambiguated ID Type / Status
Subject Kota Barrage E250429 entity
Predicate servesRegion P82 FINISHED
Object Kota district E271395 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: Kota district | Statement: [Kota Barrage, servesRegion, Kota district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kota district
Context triple: [Kota Barrage, servesRegion, Kota district]
  • A. Kota district chosen
    Kota district is an administrative region in the southeastern part of Rajasthan, India, known for its industrial city of Kota and its prominence as a national hub for engineering and medical entrance exam coaching.
  • B. Gaya district
    Gaya district is an administrative region in the Indian state of Bihar, renowned as a major Buddhist pilgrimage center that includes the sacred site of Bodh Gaya.
  • C. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • D. Penge district
    Penge district is a suburban area in southeast London known for its Victorian architecture, local high street, and residential character.
  • E. Rodat District
    Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a3e0e1481909c277be4c12b46ea completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9 p.m.