Triple

T12095482
Position Surface form Disambiguated ID Type / Status
Subject Mexican Pavilion at the New York World’s Fair (1964–1965) E288059 entity
Predicate mediumOfDisplay P43776 FINISHED
Object architectural exhibition 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: architectural exhibition | Statement: [Mexican Pavilion at the New York World’s Fair (1964–1965), mediumOfDisplay, architectural exhibition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediumOfDisplay
Context triple: [Mexican Pavilion at the New York World’s Fair (1964–1965), mediumOfDisplay, architectural exhibition]
  • A. mediumDisplayed chosen
    Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
  • B. mediumSupport
    Indicates that one entity provides a moderate or intermediate level of support or assistance to another entity.
  • C. mediumAppearance
    Indicates that an entity appears in or is featured within a particular medium (such as a work, format, or communication channel).
  • D. visualMedium
    Indicates that one entity serves as the visual medium or format through which another entity is presented, communicated, or experienced.
  • E. mediumOfFame
    Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9178ad99c8190a54777b9bbe998bc completed April 10, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69d915000454819089fee00022055599 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:48 p.m.