Triple
T8757793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain Chill |
E208115
|
entity |
| Predicate | textureAssociation |
P4016
|
FINISHED |
| Object | crisp |
—
|
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: crisp | Statement: [Mountain Chill, textureAssociation, crisp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureAssociation Context triple: [Mountain Chill, textureAssociation, crisp]
-
A.
texture
chosen
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
B.
textureType
Indicates the specific kind or category of surface quality or feel that characterizes an entity.
-
C.
primaryUniformAssociation
Indicates that one entity is designated as the main or primary uniform associated with another entity.
-
D.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
E.
textureTreatment
Indicates how an entity’s surface feel or texture has been modified, processed, or treated.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.