Triple

T8610805
Position Surface form Disambiguated ID Type / Status
Subject GATT E203908 entity
Predicate roleOfClient P78653 FINISHED
Object accesses and manipulates server attributes 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: accesses and manipulates server attributes | Statement: [GATT, roleOfClient, accesses and manipulates server attributes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleOfClient
Context triple: [GATT, roleOfClient, accesses and manipulates server attributes]
  • A. ClientRole chosen
    Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
  • B. clientOf
    Indicates that one entity receives services or conducts business from another entity in a client–provider relationship.
  • C. legalCaseRole
    Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
  • D. roleInPLO
    Indicates that an entity holds or held a specific role or position within the Palestine Liberation Organization (PLO).
  • E. roleInIntegration
    Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ee96ac8190809817c403da2889 completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc455437488190b7506f820daf6e32 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.