Triple

T8018930
Position Surface form Disambiguated ID Type / Status
Subject Alfred E. Smith Memorial Foundation E186688 entity
Predicate hasEventVenueLocation P65326 FINISHED
Object New York City hotels 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: New York City hotels | Statement: [Alfred E. Smith Memorial Foundation, hasEventVenueLocation, New York City hotels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEventVenueLocation
Context triple: [Alfred E. Smith Memorial Foundation, hasEventVenueLocation, New York City hotels]
  • A. connectsToEventVenue
    Indicates that one entity serves as a link or route providing access or connection to an event venue.
  • B. hasVenueContext
    Indicates that an entity is associated with a particular venue or setting that provides contextual information about where it occurs or is situated.
  • C. hasVenueFunction
    Indicates that a venue serves a particular function or role (such as hosting events, performances, or specific activities).
  • D. locatedInOperatedVenue
    Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
  • E. hasPrincipalVenue chosen
    Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df626e8819098a9f8908dfdad3b completed March 31, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69cb049253d08190bafcecfde493ab8b completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:20 p.m.