Triple

T10975331
Position Surface form Disambiguated ID Type / Status
Subject Becca Kovacik E259354 entity
Predicate hasRoleInBelfast P8234 FINISHED
Object producer 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: producer | Statement: [Becca Kovacik, hasRoleInBelfast, producer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoleInBelfast
Context triple: [Becca Kovacik, hasRoleInBelfast, producer]
  • A. hasCityRole chosen
    Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
  • B. boroughServed
    Indicates that a given entity (such as a facility, service, or route) serves or provides coverage to a specific borough.
  • C. boroughOf
    Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
  • D. hasBoroughCouncil
    Indicates that an administrative area is governed or overseen by a specific borough council.
  • E. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f4e888819097433271a2f45ff3 completed April 9, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69d72e8c27cc81908050590b7a04cafd completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:24 p.m.