Triple

T27134912
Position Surface form Disambiguated ID Type / Status
Subject ESCA E681655 entity
Predicate isSurfaceSensitive P161887 FINISHED
Object true 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: true | Statement: [ESCA, isSurfaceSensitive, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSurfaceSensitive
Context triple: [ESCA, isSurfaceSensitive, true]
  • A. isPressureSensitive
    Indicates that an entity responds differently based on the amount or intensity of physical pressure applied to it.
  • B. hasSurfacePreference
    Indicates that an entity tends to favor or is best suited for interacting with a particular type of surface over others.
  • C. usesSurface
    Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
  • D. hasSurfaceLevel
    Indicates that one entity possesses or is characterized by a particular degree or measure of surface level (e.g., depth, detail, or superficiality).
  • E. hasPrimarySurface
    Indicates that one entity serves as the main or principal surface associated with another entity.
  • F. None of above. chosen

Provenance (4 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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62479bbb88190bcad383443cbd638 completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
PDg Predicate description generation batch_69f61fa35ac48190890102c348ed81a0 completed May 2, 2026, 4 p.m.
Created at: April 27, 2026, 9:06 a.m.