Triple

T29290046
Position Surface form Disambiguated ID Type / Status
Subject Iran vs Portugal (2018 FIFA World Cup Group B) E742635 entity
Predicate VARInvolvement P1256 FINISHED
Object yes LITERAL 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: yes | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), VARInvolvement, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: VARInvolvement
Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), VARInvolvement, yes]
  • A. mayBeInvolvedIn
    Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
  • B. typeOfInvolvement
    Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
  • C. constantInvolved
    Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
  • D. involves chosen
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • E. pseudoVariantInvolves
    Indicates that a pseudo-variant (an inferred or non-canonical variant representation) functionally involves or corresponds to a particular underlying variant or set of variants.
  • 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_69f0912323c48190b9a24ef8cf359225 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f6653fd31c8190af982a019dfe645e completed May 2, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69f660f2e3708190ab658652bcfc04d0 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 1:01 p.m.