Triple

T1404023
Position Surface form Disambiguated ID Type / Status
Subject Snake Dike E31648 entity
Predicate recommendedRack P16857 FINISHED
Object light traditional rack 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: light traditional rack | Statement: [Snake Dike, recommendedRack, light traditional rack]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recommendedRack
Context triple: [Snake Dike, recommendedRack, light traditional rack]
  • A. commendedFor
    Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
  • B. recommendedEquipment chosen
    Indicates that one entity suggests or endorses another entity as suitable equipment to be used in a particular context or activity.
  • C. implementsRecommendationOf
    Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
  • D. canRecommend
    Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
  • E. chamberSupportedBy
    Indicates that a chamber is physically held up, carried, or structurally sustained by another object or structure.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.