Triple

T11470768
Position Surface form Disambiguated ID Type / Status
Subject William Benton Museum of Art E271898 entity
Predicate hasNotableCollectionArea P99461 FINISHED
Object 20th-century American art 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: 20th-century American art | Statement: [William Benton Museum of Art, hasNotableCollectionArea, 20th-century American art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCollectionArea
Context triple: [William Benton Museum of Art, hasNotableCollectionArea, 20th-century American art]
  • A. hasCollectionArea
    Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
  • B. collectingArea
    Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
  • C. hasExhibitionArea
    Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
  • D. hasCirculationArea
    Indicates that an entity includes or is associated with a designated circulation space or area used for movement or flow (e.g., of people, materials, or vehicles).
  • E. hasLandmarkArea
    Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:35 p.m.