Triple

T36783313
Position Surface form Disambiguated ID Type / Status
Subject New York Mets executive E908832 entity
Predicate hasEmployerStadium P186295 FINISHED
Object Citi Field NE NERFINISHED

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: Citi Field | Statement: [New York Mets executive, hasEmployerStadium, Citi Field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmployerStadium
Context triple: [New York Mets executive, hasEmployerStadium, Citi Field]
  • A. hasTeamStadium
    Indicates that a sports team is associated with or plays its home games at a particular stadium.
  • B. hasHomeStadiumContext
    Indicates that an entity’s home stadium is specified or characterized within a particular contextual framework (such as time, competition, or role).
  • C. ownsStadiumThroughTeam
    Indicates that an entity indirectly owns a stadium by virtue of owning or controlling a team that uses or is associated with that stadium.
  • D. hasHomeCityStadium
    Indicates that a sports team or organization has its primary home stadium located in a specific city.
  • E. hasHostStadiumTeam
    Indicates that a particular team is the primary host or home team for events held at a given stadium.
  • 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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cabdd2d88190be1c8de7e499cb83 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
PDg Predicate description generation batch_69f7ca91f1808190b2a05c4b691da0bb completed May 3, 2026, 10:22 p.m.
Created at: May 3, 2026, 4:12 p.m.