Triple

T18435429
Position Surface form Disambiguated ID Type / Status
Subject Ayala Museum E450377 entity
Predicate hasNumberOfDioramas P5288 FINISHED
Object 60 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: 60 | Statement: [Ayala Museum, hasNumberOfDioramas, 60]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDioramas
Context triple: [Ayala Museum, hasNumberOfDioramas, 60]
  • A. hasNotableDiorama
    Indicates that an entity features or includes a diorama that is considered notable or significant.
  • B. numberOfExhibits chosen
    Indicates the total count of exhibits associated with a given entity or context.
  • C. hasExhibitsFrom
    Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
  • D. hasExhibits
    Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
  • E. hasInteractiveExhibits
    Indicates that something contains exhibits designed for active participation or engagement by the audience.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0bd35c8190b66d62ad9987377f completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:28 a.m.