Triple

T18807150
Position Surface form Disambiguated ID Type / Status
Subject United Nations General Assembly resolution 45/212 E459902 entity
Predicate recognizedProblem P21734 FINISHED
Object anthropogenic climate change 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: anthropogenic climate change | Statement: [United Nations General Assembly resolution 45/212, recognizedProblem, anthropogenic climate change]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizedProblem
Context triple: [United Nations General Assembly resolution 45/212, recognizedProblem, anthropogenic climate change]
  • A. knownIssue chosen
    Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
  • B. recognizedSee
    Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
  • C. recognizedFeature
    Indicates that a particular feature has been identified and acknowledged as present or valid in relation to an entity or context.
  • D. possibleIssue
    Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
  • E. typicalProblem
    Indicates that a situation, issue, or obstacle is representative or characteristic of the usual problems encountered in a given context.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e48d1b10ec8190985c6fb5766ff981 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.