Triple

T470050
Position Surface form Disambiguated ID Type / Status
Subject 1905 World Series E8534 entity
Predicate losingFranchise P15133 FINISHED
Object Philadelphia Athletics franchise 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: Philadelphia Athletics franchise | Statement: [1905 World Series, losingFranchise, Philadelphia Athletics franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: losingFranchise
Context triple: [1905 World Series, losingFranchise, Philadelphia Athletics franchise]
  • A. associatedFranchise
    Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
  • B. losingManager
    Indicates that the referenced manager is the one whose team or organization was defeated or performed worse in a particular competition, comparison, or event.
  • C. playsForFranchise
    Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
  • D. affectedFranchise
    Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
  • E. hadFranchise
    Indicates that one entity possessed or operated a franchise right or franchise unit of another entity.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efef8b788190857ebf66df562d59 completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2edebb3988190907992a584b4e260 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2ef257a548190a96bfa0cf6183976 completed Feb. 28, 2026, 1:35 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.