Triple

T34082568
Position Surface form Disambiguated ID Type / Status
Subject BCP 12 E874083 entity
Predicate givesRecommendationsOn P5662 FINISHED
Object technical content of RFC 1908 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: technical content of RFC 1908 | Statement: [BCP 12, givesRecommendationsOn, technical content of RFC 1908]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesRecommendationsOn
Context triple: [BCP 12, givesRecommendationsOn, technical content of RFC 1908]
  • A. canRecommend
    Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
  • B. recommendation chosen
    Indicates that one entity suggests, endorses, or advises another entity as suitable or beneficial for a particular purpose or context.
  • C. commendationType
    Indicates the specific category or kind of commendation associated with an action or relationship.
  • D. madeRecommendation
    Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
  • E. commendedFor
    Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
  • 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_69f349a61d448190b74642f325d3eb7a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c07bed48190976f4405d4a3d642 completed May 3, 2026, 8:49 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:52 a.m.