Triple

T3853917
Position Surface form Disambiguated ID Type / Status
Subject Grotte de Niaux E85363 entity
Predicate hasLightingPolicy P51958 FINISHED
Object minimal artificial lighting 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: minimal artificial lighting | Statement: [Grotte de Niaux, hasLightingPolicy, minimal artificial lighting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightingPolicy
Context triple: [Grotte de Niaux, hasLightingPolicy, minimal artificial lighting]
  • A. hasLighting
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. usesLightingFor
    Indicates that one entity employs or relies on a particular lighting setup, technology, or condition to achieve a purpose or perform an action.
  • C. lightingControlledBy
    Indicates that the lighting system or device is operated, regulated, or influenced by a specified controller or control mechanism.
  • D. hasZoningPolicy
    Indicates that a governing body or authority has established or adopted a specific zoning policy that regulates land use or development within its jurisdiction.
  • E. hasPolicySupport
    Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec0438308190865ff74bee5a1cf2 completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aee8d9b328819080158be59e5bcc97 completed March 9, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:19 p.m.