Triple
T4467289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antep baklavası |
E98408
|
entity |
| Predicate | isSoakedIn |
P15750
|
FINISHED |
| Object | sugar syrup |
—
|
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: sugar syrup | Statement: [Antep baklavası, isSoakedIn, sugar syrup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSoakedIn Context triple: [Antep baklavası, isSoakedIn, sugar syrup]
-
A.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
B.
wetnessLevel
Indicates the degree or intensity of how wet something is in relation to a reference state or scale.
-
C.
submerged
Indicates that one entity is located beneath the surface of a liquid or other surrounding medium, typically fully covered by it.
-
D.
receivesMoistureFrom
chosen
Indicates that one entity obtains or is supplied with moisture (such as water, humidity, or precipitation) from another entity.
-
E.
impregnatedBy
Indicates that one entity has caused another entity to become pregnant.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.