Triple

T2751906
Position Surface form Disambiguated ID Type / Status
Subject IRTF E61007 entity
Predicate relationToIETF P41645 FINISHED
Object focuses on long-term research rather than short-term engineering 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: focuses on long-term research rather than short-term engineering standards | Statement: [IRTF, relationToIETF, focuses on long-term research rather than short-term engineering standards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationToIETF
Context triple: [IRTF, relationToIETF, focuses on long-term research rather than short-term engineering standards]
  • A. termRelationTo
    Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
  • B. relatedRFC
    Indicates that one resource or specification is connected or associated with another through a shared or relevant RFC (Request for Comments) document.
  • C. relationToCreation
    Indicates the nature of a connection or involvement an entity has with the origin, production, or bringing-into-existence of something.
  • D. titleRelation
    Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
  • E. relationshipToHumans
    Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
  • F. None of above. chosen

Provenance (4 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6d08088190b489de15a120ba3f completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd91497ec8190927e91ad33549eda completed March 7, 2026, 7:51 a.m.
Created at: March 6, 2026, 9:56 p.m.