Triple

T34531386
Position Surface form Disambiguated ID Type / Status
Subject American Football Coaches Association E886544 entity
Predicate hasAdvocacyRole P130468 FINISHED
Object coaches interests in rules committees 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: coaches interests in rules committees | Statement: [American Football Coaches Association, hasAdvocacyRole, coaches interests in rules committees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdvocacyRole
Context triple: [American Football Coaches Association, hasAdvocacyRole, coaches interests in rules committees]
  • A. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • B. hasAdvocacyMethod
    Indicates the method, strategy, or approach used to advocate for a cause, issue, or entity.
  • C. hasPoliticalActivityIn
    Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
  • D. hasOppositionRoleSince
    Indicates that an entity has held a specific opposition role or position continuously since a given point in time.
  • E. advocatesIn chosen
    Indicates that an entity actively supports, promotes, or argues in favor of something within a particular context, domain, or setting.
  • 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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd864235b481908738dbb69556bc62 completed May 8, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69fd8373b6bc819091c554f29ee17fec completed May 8, 2026, 6:32 a.m.
Created at: May 1, 2026, 2:02 a.m.