Triple

T20267340
Position Surface form Disambiguated ID Type / Status
Subject G3 E499002 entity
Predicate hasRotatingLineup P139469 FINISHED
Object true 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: true | Statement: [G3, hasRotatingLineup, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRotatingLineup
Context triple: [G3, hasRotatingLineup, true]
  • A. lineupChange
    Indicates a modification in the composition or order of participants in a lineup, such as adding, removing, or rearranging members.
  • B. replacedInLineupBy
    Indicates that one participant in a lineup is substituted or superseded by another participant in that same lineup.
  • C. usesCrewRotationWith
    Indicates that one entity applies a crew rotation system or schedule in conjunction with another entity.
  • D. notableLineup
    Indicates that an entity is recognized as part of a particularly significant or distinguished group, roster, or cast associated with another entity.
  • E. hasRetiredPlayersFrom
    Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674d001f081908910eedd262ae13a completed April 20, 2026, 6:47 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56702ad04819099c1c08f28d16809 completed April 19, 2026, 11:36 p.m.
Created at: April 11, 2026, 11:42 p.m.