Triple
T32727101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitto |
E836829
|
entity |
| Predicate | typicalGoatMilkPercentage |
P53132
|
FINISHED |
| Object | 10–20% |
—
|
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: 10–20% | Statement: [Bitto, typicalGoatMilkPercentage, 10–20%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGoatMilkPercentage Context triple: [Bitto, typicalGoatMilkPercentage, 10–20%]
-
A.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
B.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
C.
hasStandardDairy
Indicates that an entity adheres to or complies with an established standard related to dairy products or dairy practices.
-
D.
hasDairyContent
Indicates that something contains dairy ingredients or components as part of its composition.
-
E.
typicalFatContent
chosen
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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:11 a.m.