Triple
T4307640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sulguni cheese |
E93993
|
entity |
| Predicate | textureWhenHeated |
P31484
|
FINISHED |
| Object | stringy |
—
|
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: stringy | Statement: [sulguni cheese, textureWhenHeated, stringy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureWhenHeated Context triple: [sulguni cheese, textureWhenHeated, stringy]
-
A.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
B.
textureTreatment
Indicates how an entity’s surface feel or texture has been modified, processed, or treated.
-
C.
typicalTexture
chosen
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
D.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
E.
heatShieldType
Indicates the specific kind or category of heat shield associated with an object or system.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d2af088190ad7cb035d6e0f8c2 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.