Triple

T2957719
Position Surface form Disambiguated ID Type / Status
Subject Silver Apron E79971 entity
Predicate hasSurfaceCharacteristic P274 FINISHED
Object smooth 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: smooth | Statement: [Silver Apron, hasSurfaceCharacteristic, smooth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurfaceCharacteristic
Context triple: [Silver Apron, hasSurfaceCharacteristic, smooth]
  • A. hasPrimarySurface
    Indicates that one entity serves as the main or principal surface associated with another entity.
  • B. hasCharacteristic chosen
    Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
  • C. hasSurfaceForm
    Indicates that an abstract concept, entity, or linguistic unit is realized or expressed in a specific textual or lexical form.
  • D. hasSurfaceSections
    Indicates that an entity is composed of or divided into distinct sections or parts of its surface.
  • E. notableSurface
    Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69ad960c5c8881909d679912bd7d78f3 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.