Triple

T7967037
Position Surface form Disambiguated ID Type / Status
Subject Chris Burden E185230 entity
Predicate notableWork P4 FINISHED
Object Urban Light E35201 NE 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: Urban Light | Statement: [Chris Burden, notableWork, Urban Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban Light
Context triple: [Chris Burden, notableWork, Urban Light]
  • A. Urban Light chosen
    Urban Light is a large-scale outdoor installation by artist Chris Burden composed of restored vintage street lamps, prominently displayed at the entrance of the Los Angeles County Museum of Art.
  • B. Urban Night Sky Place
    An Urban Night Sky Place is a designated area near or within a city that preserves and showcases relatively dark night skies through lighting management and public education about astronomy and light pollution.
  • C. Urban Jungle
    Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
  • D. City Loop
    City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
  • E. City Life
    City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba3f53c8190a0e9b3de2f1b9645 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.