Triple

T20932480
Position Surface form Disambiguated ID Type / Status
Subject Offside E515502 entity
Predicate filmingContext P61780 FINISHED
Object shot during an actual World Cup qualifying match 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: shot during an actual World Cup qualifying match | Statement: [Offside, filmingContext, shot during an actual World Cup qualifying match]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmingContext
Context triple: [Offside, filmingContext, shot during an actual World Cup qualifying match]
  • A. filmingLocationContext
    Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
  • B. cinematicContext chosen
    Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
  • C. stateOfFilming
    Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
  • D. filmingState
    Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
  • E. filmingStudio
    Indicates that a studio is responsible for producing or filming a particular audiovisual work.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
PD Predicate disambiguation batch_69e5c9af1fe08190953366a466950140 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:49 p.m.