Triple

T2100159
Position Surface form Disambiguated ID Type / Status
Subject Fourth Assessment Report E37073 entity
Predicate statesLikelihoodTerm P35961 FINISHED
Object very likely corresponds to probability greater than 90 percent 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: very likely corresponds to probability greater than 90 percent | Statement: [Fourth Assessment Report, statesLikelihoodTerm, very likely corresponds to probability greater than 90 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statesLikelihoodTerm
Context triple: [Fourth Assessment Report, statesLikelihoodTerm, very likely corresponds to probability greater than 90 percent]
  • A. stateOrTerritory
    Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
  • B. states
    Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
  • C. stateName
    Indicates that an entity is identified by or associated with a particular state’s name.
  • D. representedState
    Indicates that one entity serves as a representation or depiction of the state or condition of another entity.
  • E. statesGoal
    Indicates that one entity explicitly expresses or declares a goal or intended outcome related to another entity or situation.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabb512c819087b1d5ec8ef11e63 completed March 7, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69abb7b6274081909df36cd7a7c6a675 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abba2e65b48190bb19cfc4b0f8c462 completed March 7, 2026, 5:39 a.m.
Created at: March 4, 2026, 7:43 p.m.