Triple

T4649377
Position Surface form Disambiguated ID Type / Status
Subject XFP E102253 entity
Predicate supportsReachClass P203 FINISHED
Object short reach 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: short reach | Statement: [XFP, supportsReachClass, short reach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsReachClass
Context triple: [XFP, supportsReachClass, short reach]
  • A. supportedClass
    Indicates that one entity is a class or type that is recognized, handled, or operable within the capabilities or context provided by another entity.
  • B. supportsImplementationOf
    Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
  • C. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • D. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • E. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69bd620fc5e081908325ac8e6a6384ab completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:14 p.m.