Triple

T35903386
Position Surface form Disambiguated ID Type / Status
Subject Department of European Affairs (Thailand) E1038408 entity
Predicate typeOfRelationsManaged P156756 FINISHED
Object diplomatic relations — 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: diplomatic relations | Statement: [Department of European Affairs (Thailand), typeOfRelationsManaged, diplomatic relations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfRelationsManaged
Context triple: [Department of European Affairs (Thailand), typeOfRelationsManaged, diplomatic relations]
  • A. typeOfRelationsHandled chosen
    Indicates the kinds or categories of relationships that an entity is responsible for managing or processing.
  • B. managesRelationsWith
    Indicates that one entity is responsible for handling, coordinating, or overseeing the interactions and ongoing relationship with another entity.
  • C. typeOfPropertyManaged
    Indicates the specific category or kind of property that an entity is responsible for managing.
  • D. hasRelationships
    Indicates that an entity is connected to one or more other entities through specified types of relationships.
  • E. numberOfAssociationsRepresented
    Indicates the total count of associations that are captured or represented by a given entity or construct.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a01e993fec0819090cc397218515e88 completed May 11, 2026, 2:37 p.m.
PD Predicate disambiguation batch_6a01e57594188190a2354f48cf71b48c completed May 11, 2026, 2:19 p.m.
Created at: May 3, 2026, 4:07 p.m.