Triple

T1298050
Position Surface form Disambiguated ID Type / Status
Subject Marrakesh Agreement E27697 entity
Predicate signatoriesType P447 FINISHED
Object sovereign states and separate customs territories 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: sovereign states and separate customs territories | Statement: [Marrakesh Agreement, signatoriesType, sovereign states and separate customs territories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signatoriesType
Context triple: [Marrakesh Agreement, signatoriesType, sovereign states and separate customs territories]
  • A. signatoryType chosen
    Indicates the specific role or category of a party that has signed or formally agreed to a document, contract, or agreement.
  • B. hasSignatories
    Indicates that one or more parties have formally signed or endorsed an agreement, document, or instrument.
  • C. numberOfSignatories
    Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
  • D. signatoryGovernment
    Indicates that a government is a formal signer or ratifying party to an agreement, treaty, or similar binding instrument.
  • E. signatoryState
    Indicates that a state is a formal party to, and has signed or ratified, a specific treaty, agreement, or legal instrument.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.