Triple
T35596037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleu de Gex |
E1028632
|
entity |
| Predicate | typicalMilkBreed |
P55254
|
FINISHED |
| Object | Montbéliarde cow |
—
|
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: Montbéliarde cow | Statement: [Bleu de Gex, typicalMilkBreed, Montbéliarde cow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMilkBreed Context triple: [Bleu de Gex, typicalMilkBreed, Montbéliarde cow]
-
A.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
B.
typicalMilkSource
chosen
Indicates that one entity is the usual or primary source from which the other entity obtains milk.
-
C.
milkProductionSystem
Indicates a system or process through which milk is produced, managed, or obtained from a source.
-
D.
ruminantType
Indicates that one entity is classified as a type or category within the group of ruminant animals in relation to another entity.
-
E.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.