Triple

T4052462
Position Surface form Disambiguated ID Type / Status
Subject Asahi Glass Foundation E84614 entity
Predicate BluePlanetPrizeScope P53012 FINISHED
Object international 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: international | Statement: [Asahi Glass Foundation, BluePlanetPrizeScope, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BluePlanetPrizeScope
Context triple: [Asahi Glass Foundation, BluePlanetPrizeScope, international]
  • A. marineLifeTrend
    Indicates a change over time in the abundance, health, or distribution of marine life populations.
  • B. hasBiosphere
    Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
  • C. marineProtectedArea
    Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
  • D. primaryMarineSpeciesObserved
    Indicates that the specified marine species is the main or most frequently observed species in a given observation or survey context.
  • E. hasMarineSpecies
    Indicates that an entity contains, supports, or is associated with one or more marine species.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb869c34819097ec3bebe402d37b completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aef9fcb31c819098d5287b6fc84f4e completed March 9, 2026, 4:49 p.m.
Created at: March 9, 2026, 3:37 p.m.