Triple

T24404549
Position Surface form Disambiguated ID Type / Status
Subject Lambretta E615271 entity
Predicate hasLicenseProduction P45762 FINISHED
Object India 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: India | Statement: [Lambretta, hasLicenseProduction, India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLicenseProduction
Context triple: [Lambretta, hasLicenseProduction, India]
  • A. hasLicense
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • B. licenseProduction chosen
    Indicates that one party is authorized to manufacture or produce something under a license granted by another party.
  • C. hasLicensing
    Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
  • D. hasProduction
    Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
  • E. hasLicenseCriteria
    Indicates that an entity is subject to, or must satisfy, specific licensing requirements or conditions.
  • F. None of above.

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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f294de76848190bd2cf3c7add2dcf1 completed April 29, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:05 a.m.