Triple

T4981634
Position Surface form Disambiguated ID Type / Status
Subject Kivalina E111898 entity
Predicate legalCaseTopic P49402 FINISHED
Object climate change damages 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: climate change damages | Statement: [Kivalina, legalCaseTopic, climate change damages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalCaseTopic
Context triple: [Kivalina, legalCaseTopic, climate change damages]
  • A. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • B. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • C. legalTopicCoverage chosen
    Indicates that one entity (such as a document, service, or resource) addresses, discusses, or is relevant to a particular legal topic or area of law.
  • D. typeOfLaw
    Indicates that one entity is a specific category or kind of law to which the other entity pertains.
  • E. legalRepresentation
    Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71492dec8190af4c27a3043b35cc completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:33 p.m.