Triple
T16159249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa İskender |
E392132
|
entity |
| Predicate | fatUsed |
P40978
|
FINISHED |
| Object | clarified butter |
—
|
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: clarified butter | Statement: [Bursa İskender, fatUsed, clarified butter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatUsed Context triple: [Bursa İskender, fatUsed, clarified butter]
-
A.
typicalFatUsed
chosen
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
-
B.
fatStorage
Indicates the process or state in which an organism or system accumulates and retains fat as an energy reserve.
-
C.
fatDistribution
Indicates how body fat is spatially allocated or spread across different regions of an entity.
-
D.
fatColor
Indicates the color characteristic associated with an entity’s fat or fatty tissue.
-
E.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5c9cd0819090e34ee163ffb118 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.