Triple

T16221565
Position Surface form Disambiguated ID Type / Status
Subject Toyota Kirloskar Motor Pvt. Ltd. E393737 entity
Predicate city P40 FINISHED
Object Bidadi E1066278 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: Bidadi | Statement: [Toyota Kirloskar Motor Pvt. Ltd., city, Bidadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bidadi
Context triple: [Toyota Kirloskar Motor Pvt. Ltd., city, Bidadi]
  • A. Bidadi chosen
    Bidadi is a rapidly developing town near Bengaluru in Karnataka, India, known for its industrial hubs, educational institutions, and popular local eateries.
  • B. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • C. Baggariddim
    Baggariddim is a 1985 UB40 album that blends the band’s reggae rhythms with DJ toasting and guest vocalists over reworked backing tracks.
  • D. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • E. Baragadhi
    Baragadhi is a local administrative area and settlement located within Madhesh Province in southeastern Nepal.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fbd88081909fac3f075d5ea7f4 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.