Triple

T19814242
Position Surface form Disambiguated ID Type / Status
Subject Apna Dal (Kamerawadi) E476019 entity
Predicate namedAfter P63 FINISHED
Object Kameri 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: Kameri | Statement: [Apna Dal (Kamerawadi), namedAfter, Kameri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kameri
Context triple: [Apna Dal (Kamerawadi), namedAfter, Kameri]
  • A. Kameri chosen
    Kameri is an alternative name for the place known as Kamerawadi, likely a village or locality in India.
  • B. Kwamera
    Kwamera is an Oceanic language spoken by indigenous communities on Tanna Island in Vanuatu.
  • C. Kamer
    Kamer is the Dutch term commonly used to refer to the Belgian Chamber of Representatives, the lower house of the country's federal parliament.
  • D. Camira
    Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • E. Camira
    Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f6495c81908e7eea359a60e40f completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.