Triple

T1602220
Position Surface form Disambiguated ID Type / Status
Subject Chat Moss E34417 entity
Predicate climateRegulationRole P30643 FINISHED
Object potential carbon sink if restored 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: potential carbon sink if restored | Statement: [Chat Moss, climateRegulationRole, potential carbon sink if restored]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: climateRegulationRole
Context triple: [Chat Moss, climateRegulationRole, potential carbon sink if restored]
  • A. environmentalRegulation
    Indicates that one entity imposes rules, standards, or restrictions on another entity’s activities to protect or manage the natural environment.
  • B. worksOnRegulationType
    Indicates that an entity is involved in work or activities related to a specific type or category of regulation.
  • C. governmentalRole
    Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
  • D. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • E. climateChangeIndicator
    Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a95b02cd448190be8e3db9a5a7bac0 completed March 5, 2026, 10:29 a.m.
PD Predicate disambiguation batch_69a907c1cad08190b9728dd557f39aa0 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a95aada3f881909053363c01de8b57 completed March 5, 2026, 10:29 a.m.
Created at: March 4, 2026, 7:28 p.m.