Triple

T36105894
Position Surface form Disambiguated ID Type / Status
Subject Article III:3 E1044353 entity
Predicate hasInterpretativeContext P33381 FINISHED
Object preamble of GATT 1994 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: preamble of GATT 1994 | Statement: [Article III:3, hasInterpretativeContext, preamble of GATT 1994]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterpretativeContext
Context triple: [Article III:3, hasInterpretativeContext, preamble of GATT 1994]
  • A. hasInterpretiveElement
    Indicates that something includes or is associated with an element involving interpretation, such as a subjective, analytical, or explanatory component.
  • B. hasExplicitInterpretation
    Indicates that something is associated with a clearly defined and unambiguous meaning or interpretation.
  • C. containsInterpretationOf chosen
    Indicates that one entity includes or embodies an interpretation or understanding of another entity.
  • D. isInterpretableIn
    Indicates that one formal system, language, or theory can be meaningfully represented, understood, or given a semantics within another system, language, or theory.
  • E. hasInterpretiveGoal
    Indicates that an entity is associated with a specific intended meaning, purpose, or objective guiding how something should be interpreted.
  • 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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00a22e32f481909b6006c5b1cdefd3 completed May 10, 2026, 3:20 p.m.
PD Predicate disambiguation batch_6a00a1bd9c908190b4aa17a61f48126f completed May 10, 2026, 3:18 p.m.
Created at: May 3, 2026, 4:08 p.m.