Triple

T12678843
Position Surface form Disambiguated ID Type / Status
Subject ICC Academy E302890 entity
Predicate usesContentSource P22683 FINISHED
Object ICC rules and standards 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: ICC rules and standards | Statement: [ICC Academy, usesContentSource, ICC rules and standards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesContentSource
Context triple: [ICC Academy, usesContentSource, ICC rules and standards]
  • A. containsSourceOf
    Indicates that one entity includes, holds, or encompasses the origin or cause of another entity.
  • B. usesSourceType
    Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
  • C. hasContentFrom chosen
    Indicates that one entity’s content is derived from, includes, or is based on another entity.
  • D. usedAsSourceIn
    Indicates that something serves as the origin, basis, or input from which another thing is derived, produced, or obtained.
  • E. requiresSources
    Indicates that something must be supported, justified, or validated by one or more external sources.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b1dff48190923290555ece5d89 completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960bb64ec8190bd0400cf0cc8b0a7 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:20 p.m.