Triple
T29467445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churchkhela |
E747416
|
entity |
| Predicate | isTraditionallyMadeFrom |
P21333
|
FINISHED |
| Object | concentrated grape juice |
—
|
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: concentrated grape juice | Statement: [Churchkhela, isTraditionallyMadeFrom, concentrated grape juice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionallyMadeFrom Context triple: [Churchkhela, isTraditionallyMadeFrom, concentrated grape juice]
-
A.
traditionallyUsedBy
Indicates that something has been customarily or historically used by a particular person, group, or culture over time.
-
B.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
C.
traditionallyBelievedToContain
Indicates that something is customarily or historically thought to include or hold something else, regardless of whether this belief is factually accurate.
-
D.
isTypicallyConsumedFrom
Indicates that one entity is most commonly eaten or drunk using, contained in, or taken from the other entity.
-
E.
madeWith
chosen
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 3:54 p.m.