Triple

T26345938
Position Surface form Disambiguated ID Type / Status
Subject CSS Containment Module Level 1 E662776 entity
Predicate definesValueType P61969 FINISHED
Object <contain-list> 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: <contain-list> | Statement: [CSS Containment Module Level 1, definesValueType, <contain-list>]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesValueType
Context triple: [CSS Containment Module Level 1, definesValueType, <contain-list>]
  • A. typeOfValue chosen
    Indicates that one entity specifies the kind or category of value associated with another entity.
  • B. definesType
    Indicates that one entity specifies or establishes the type or classification of another entity.
  • C. variableType
    Indicates that one entity is the type or data category of the other entity, which is a variable.
  • D. definitionType
    Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
  • E. definesMessageType
    Indicates that one entity specifies or determines the message type classification or category for another entity.
  • 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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 26, 2026, 10:42 p.m.