Triple

T4074965
Position Surface form Disambiguated ID Type / Status
Subject Berkeley Blue E86741 entity
Predicate saturation P39616 FINISHED
Object deep 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: deep | Statement: [Berkeley Blue, saturation, deep]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: saturation
Context triple: [Berkeley Blue, saturation, deep]
  • A. resolution
    Indicates the act of formally deciding, settling, or expressing a determined stance on an issue, often through an official decision or statement.
  • B. concentration chosen
    Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
  • C. traction
    Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
  • D. shaded
    Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
  • E. sillage
    Indicates the lingering trail or trace left behind by something (such as a scent, movement, or presence) as it moves through space.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69aef9082c2081908474f082a49bebc8 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.