Triple

T20956
Position Surface form Disambiguated ID Type / Status
Subject Enquire (software) E415 entity
Predicate linkRepresents P103 FINISHED
Object relationship between two nodes 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: relationship between two nodes | Statement: [Enquire (software), linkRepresents, relationship between two nodes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkRepresents
Context triple: [Enquire (software), linkRepresents, relationship between two nodes]
  • A. relatedTo
    Indicates a general, non-specific relationship or association exists between two entities.
  • B. hasRepresentationIn chosen
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • C. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • D. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • E. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a246f7bd30819085f751c41f6f029e completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a246526f5881909bc2a46e978bd082 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.