Triple

T31803952
Position Surface form Disambiguated ID Type / Status
Subject Deglet Nour E811817 entity
Predicate hasSkinTexture P25911 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: [Deglet Nour, hasSkinTexture, smooth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSkinTexture
Context triple: [Deglet Nour, hasSkinTexture, smooth]
  • A. hasSkin
    Indicates that one entity possesses skin as a covering or outer tissue layer.
  • B. fleshTexture chosen
    Indicates the tactile quality or surface feel of an entity’s flesh, such as how smooth, firm, soft, or coarse it is.
  • C. hasFacialSkinColor
    Indicates that one entity has a specific facial skin color characterized or attributed by another entity.
  • D. skinCharacteristic
    Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
  • E. hasFleshColor
    Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
  • 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_69f348e70d188190b4637c5509f81274 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca3dedc81908b519d53d2909868 completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:42 p.m.