Triple

T29004522
Position Surface form Disambiguated ID Type / Status
Subject David Dunlap Observatory E736388 entity
Predicate lightPollutionIssue P165889 FINISHED
Object increasing urban skyglow from Greater Toronto Area 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: increasing urban skyglow from Greater Toronto Area | Statement: [David Dunlap Observatory, lightPollutionIssue, increasing urban skyglow from Greater Toronto Area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lightPollutionIssue
Context triple: [David Dunlap Observatory, lightPollutionIssue, increasing urban skyglow from Greater Toronto Area]
  • A. lightPollutionPolicy
    Indicates the existence or characteristics of rules or measures governing how artificial light is used to limit or manage light pollution.
  • B. nightUse
    Indicates that an entity is used, active, or intended specifically during the night.
  • C. skyQuality
    Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
  • D. isIlluminatedAtNight
    Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
  • E. lightLevel
    Indicates the intensity or amount of light present in a given context or environment.
  • 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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fbe768c819083a4759f39f0df79 completed May 2, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65ad638ac8190a17bb987fce53279 completed May 2, 2026, 8:13 p.m.
Created at: April 28, 2026, 9:36 a.m.