Triple

T4485494
Position Surface form Disambiguated ID Type / Status
Subject Canoes surf break E107227 entity
Predicate waveShape P1464 FINISHED
Object soft rolling waves 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: soft rolling waves | Statement: [Canoes surf break, waveShape, soft rolling waves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waveShape
Context triple: [Canoes surf break, waveShape, soft rolling waves]
  • A. waveType
    Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
  • B. waveColor
    Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
  • C. numberOfWaves
    Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
  • D. hasWave
    Indicates that one entity possesses, exhibits, or is associated with a particular wave or waveform.
  • E. shape chosen
    Indicates that one entity has a particular geometric or physical form characterized by the other entity.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd556d29f08190bab1e872dd7e819f completed March 20, 2026, 2:10 p.m.
PD Predicate disambiguation batch_69bd5213e3d0819094b026989e686f01 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 12:59 p.m.