Triple
T27527734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juju Dhau |
E694878
|
entity |
| Predicate | textureComparedTo |
P108941
|
FINISHED |
| Object | thicker than regular yogurt |
—
|
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: thicker than regular yogurt | Statement: [Juju Dhau, textureComparedTo, thicker than regular yogurt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureComparedTo Context triple: [Juju Dhau, textureComparedTo, thicker than regular yogurt]
-
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.
textureContrast
chosen
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
-
C.
scaleComparison
Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
-
D.
textureFeatures
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
-
E.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f3124008190b70853a40895469e |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:24 p.m.