Triple
T21400962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozarka |
E527908
|
entity |
| Predicate | isForHumanConsumption |
P102685
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ozarka, isForHumanConsumption, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isForHumanConsumption Context triple: [Ozarka, isForHumanConsumption, true]
-
A.
isTypicallyConsumedFrom
Indicates that one entity is most commonly eaten or drunk using, contained in, or taken from the other entity.
-
B.
isEdible
chosen
Indicates that something can be safely eaten or consumed as food.
-
C.
isProcessedFood
Indicates that a food item has been altered from its natural state through industrial or mechanical methods such as refining, adding ingredients, or preserving.
-
D.
mayBeGivenTo
Indicates that something is permitted or eligible to be transferred, assigned, or provided from one entity to another.
-
E.
isEatenFor
Indicates that one entity is consumed as food for the benefit, nourishment, or use of another entity.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:14 p.m.