Triple

T10698475
Position Surface form Disambiguated ID Type / Status
Subject Vienna Convention for the Protection of the Ozone Layer E252205 entity
Predicate partyToAgreementCountType P34865 FINISHED
Object near-universal participation 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: near-universal participation | Statement: [Vienna Convention for the Protection of the Ozone Layer, partyToAgreementCountType, near-universal participation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyToAgreementCountType
Context triple: [Vienna Convention for the Protection of the Ozone Layer, partyToAgreementCountType, near-universal participation]
  • A. arePartyTo
    Indicates that the entities are participants or signatories in the same agreement, contract, or legal arrangement.
  • B. monetaryAgreementPartner
    Indicates that two entities are bound by a financial or payment-related agreement or partnership.
  • C. numberOfSignatories
    Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
  • D. hasNumberOfParties chosen
    Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
  • E. negotiatingParty
    Indicates that an entity is actively involved as a participant in a negotiation process with another entity.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69d6dd8cc0788190b4c02a772e4b58b3 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:12 p.m.