Triple

T10828918
Position Surface form Disambiguated ID Type / Status
Subject 86th Street station artwork by Chuck Close E255565 entity
Predicate appliesTechnique P3047 FINISHED
Object grid-based image construction 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: grid-based image construction | Statement: [86th Street station artwork by Chuck Close, appliesTechnique, grid-based image construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesTechnique
Context triple: [86th Street station artwork by Chuck Close, appliesTechnique, grid-based image construction]
  • A. hasTechnique chosen
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • B. allowedTechnique
    Indicates that a particular technique or method is permitted or acceptable to use in a given context or under specified rules.
  • C. usedByTechnique
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • D. featuresTechnique
    Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
  • E. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d3eab88190b30a3025b6b2b0bc completed April 9, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69d70d25280c8190b648d7d1958b413a completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:19 p.m.