Triple

T953486
Position Surface form Disambiguated ID Type / Status
Subject Dubai Fountain E20573 entity
Predicate lightingTechnology P1280 FINISHED
Object high-intensity color projectors 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: high-intensity color projectors | Statement: [Dubai Fountain, lightingTechnology, high-intensity color projectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lightingTechnology
Context triple: [Dubai Fountain, lightingTechnology, high-intensity color projectors]
  • A. hasLighting chosen
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. lightSourceFor
    Indicates that one entity serves as the source of illumination for another entity.
  • C. led
    Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
  • D. lightRange
    Indicates the distance or area over which a light source effectively emits or illuminates.
  • E. lightPath
    Indicates the route or trajectory that light follows as it travels between entities or through a medium.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d8f2e0819097554a301f8aa70f completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a045308190ab94f3adab40db8d completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.