Triple
T36365622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saanen goat |
E895614
|
entity |
| Predicate | averageMilkProteinContent |
P32526
|
FINISHED |
| Object | moderate |
—
|
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: moderate | Statement: [Saanen goat, averageMilkProteinContent, moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageMilkProteinContent Context triple: [Saanen goat, averageMilkProteinContent, moderate]
-
A.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
B.
averageMilkYieldCategory
Indicates the classification of an entity based on its typical or average amount of milk produced over a given period.
-
C.
lactoseContent
Indicates the amount or presence of lactose contained within a given substance or product.
-
D.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
E.
proteinContent
chosen
Indicates the amount or proportion of protein present in a given entity or substance.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:10 p.m.