Triple
T6927031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayrshire cattle |
E160336
|
entity |
| Predicate | averageMilkYieldCategory |
P73707
|
FINISHED |
| Object | moderate to high |
—
|
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 to high | Statement: [Ayrshire cattle, averageMilkYieldCategory, moderate to high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageMilkYieldCategory Context triple: [Ayrshire cattle, averageMilkYieldCategory, moderate to high]
-
A.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
B.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
C.
milkTreatment
Indicates that an entity is subjected to a process or method of treating or processing milk.
-
D.
curdType
Indicates the specific kind or category of curd associated with an entity.
-
E.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
- F. None of above. chosen
Provenance (4 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1bf2088190a8ccfa01d9a1efc5 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.