Triple

T3074320
Position Surface form Disambiguated ID Type / Status
Subject Literature and Revolution E64099 entity
Predicate positionOnArt P16734 FINISHED
Object art should be autonomous yet historically conditioned 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: art should be autonomous yet historically conditioned | Statement: [Literature and Revolution, positionOnArt, art should be autonomous yet historically conditioned]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnArt
Context triple: [Literature and Revolution, positionOnArt, art should be autonomous yet historically conditioned]
  • A. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • B. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • C. positionA
    Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
  • D. positionOnGood chosen
    Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
  • E. positionOnInstruments
    Indicates the specific role or seat an individual holds within a group of instruments, such as in an orchestra or ensemble.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14f5ee0819097ae04b3163dd954 completed March 8, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69ad9625b30c819099ef9349c91d7b25 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:02 p.m.