Triple

T794237
Position Surface form Disambiguated ID Type / Status
Subject Fiat E16981 entity
Predicate formerSubsidiary P6796 FINISHED
Object Lancia E17936 NE FINISHED

How this triple was built (3 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: Lancia | Statement: [Fiat, formerSubsidiary, Lancia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancia
Context triple: [Fiat, formerSubsidiary, Lancia]
  • A. Lancia chosen
    Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
  • B. Alfa Romeo
    Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
  • C. Fiat
    Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
  • D. Maserati
    Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
  • E. Abarth
    Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerSubsidiary
Context triple: [Fiat, formerSubsidiary, Lancia]
  • A. notableSubsidiary
    Indicates that one entity is a subsidiary of another and is particularly significant or prominent among that parent’s subsidiaries.
  • B. subsidiaryUnit
    Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
  • C. formerSubunit chosen
    Indicates that one entity was previously a subunit or subordinate part of another entity, but no longer holds that status.
  • D. formerParentCompany
    Indicates that one entity previously served as the parent company of another but no longer holds that status.
  • E. laterParentCompany
    Indicates that one entity became the parent company of another entity at a later point in time, after some prior state or relationship.
  • F. None of above.

Provenance (4 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792892a588190b15b0cb95c431084 completed March 4, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69a4a510f61881909175d6d8719246cd completed March 1, 2026, 8:44 p.m.
Created at: March 1, 2026, 7:38 p.m.