Triple

T24536084
Position Surface form Disambiguated ID Type / Status
Subject Soviet automotive industry E606952 entity
Predicate basedOnLicenseFrom P107527 FINISHED
Object Fiat 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: Fiat | Statement: [Soviet automotive industry, basedOnLicenseFrom, Fiat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnLicenseFrom
Context triple: [Soviet automotive industry, basedOnLicenseFrom, Fiat]
  • A. basedOnLicense chosen
    Indicates that one entity is derived from, uses, or is governed by the terms of another entity’s license.
  • B. requiresLicenseFrom
    Indicates that one entity must obtain formal permission or authorization from another entity before performing a specific activity or operation.
  • C. operatedUnderLicenseFrom
    Indicates that one entity conducts its activities or uses certain rights with formal permission granted by another entity that holds the original authority or ownership.
  • D. licensingBasisIncludes
    Indicates that one licensing basis incorporates or contains another licensing basis as part of its governing conditions or requirements.
  • E. developedUnderLicenseFrom
    Indicates that something was created or produced with formal permission granted through a licensing agreement from another party.
  • 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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:26 a.m.