Triple

T9881179
Position Surface form Disambiguated ID Type / Status
Subject Big 5 E180809 entity
Predicate hasRivalryFormat P91581 FINISHED
Object round-robin series among member schools — 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: round-robin series among member schools | Statement: [Big 5, hasRivalryFormat, round-robin series among member schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRivalryFormat
Context triple: [Big 5, hasRivalryFormat, round-robin series among member schools]
  • A. hasRivalryAspect
    Indicates that there exists a competitive or adversarial relationship or dimension between entities.
  • B. hasRivalryContext
    Indicates that there exists a competitive or adversarial relationship between entities within a specific situational or contextual framework.
  • C. hasRivalryRoot
    Indicates that a rivalry relationship originates from, or is fundamentally based on, a particular source, cause, or underlying factor.
  • D. hasRivalrySeries
    Indicates a recurring competitive relationship or series of contests held between two entities.
  • E. hasHistoricRivalry
    Indicates a long-standing, often competitive or adversarial relationship between two entities, typically rooted in significant past conflicts or repeated opposition.
  • F. None of above. chosen

Provenance (4 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb41639c88190a9ef3d950485e3ab completed April 2, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69cd1d810ed48190a252b70e9390c8f3 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd36f112bc81908b473787e702de2f completed April 1, 2026, 3:17 p.m.
Created at: March 30, 2026, 8:38 p.m.