Triple

T3099828
Position Surface form Disambiguated ID Type / Status
Subject Parque Nacional Sierra de San Pedro Mártir E64687 entity
Predicate hasSkyQuality P349 FINISHED
Object low light pollution 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: low light pollution | Statement: [Parque Nacional Sierra de San Pedro Mártir, hasSkyQuality, low light pollution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSkyQuality
Context triple: [Parque Nacional Sierra de San Pedro Mártir, hasSkyQuality, low light pollution]
  • A. skyQuality chosen
    Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
  • B. hasSkyBar
    Indicates that an establishment features a bar located on its rooftop or at a high elevation with views of the surrounding area.
  • C. hasDeepSkyObject
    Indicates that an entity is associated with or contains a specific deep-sky astronomical object (such as a galaxy, nebula, or star cluster).
  • D. darkSkyStatusGrantedBy
    Indicates that a particular dark sky status or designation has been officially conferred by a specified granting authority or organization.
  • E. visibleToNakedEye
    Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26b03a081909cf187b9a8f805ce completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df06ed88190809f0683122caa5a completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.