Triple

T25049976
Position Surface form Disambiguated ID Type / Status
Subject ABA–NBA merger television revenue agreement E627351 entity
Predicate compensationStructure P58774 FINISHED
Object percentage of gross NBA television revenues 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: percentage of gross NBA television revenues | Statement: [ABA–NBA merger television revenue agreement, compensationStructure, percentage of gross NBA television revenues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compensationStructure
Context triple: [ABA–NBA merger television revenue agreement, compensationStructure, percentage of gross NBA television revenues]
  • A. compensationModel chosen
    Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
  • B. compensationCategory
    Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
  • C. compensationPolicy
    Indicates the rules or guidelines that govern how compensation (such as salary, bonuses, or benefits) is determined and provided.
  • D. compensationProgram
    Indicates a relationship where an entity provides or participates in a structured plan that offers payment or benefits in return for work, services, or losses.
  • E. paymentStructure
    Indicates how payments are organized, scheduled, and divided between the involved parties.
  • 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_69e2ff2b4c80819087c916b2b16241b9 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 18, 2026, 6:09 a.m.