Triple
T27507612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majorero goat cheese |
E694320
|
entity |
| Predicate | rindTreatment |
P123871
|
FINISHED |
| Object | olive oil |
—
|
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: olive oil | Statement: [Majorero goat cheese, rindTreatment, olive oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rindTreatment Context triple: [Majorero goat cheese, rindTreatment, olive oil]
-
A.
typicalRindTreatment
chosen
Indicates the usual or standard method applied to treat or process the rind of an item (such as a fruit, cheese, or similar product).
-
B.
rindType
Indicates the type or characteristic of the rind associated with an entity.
-
C.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
D.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
E.
treatmentType
Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ef65ca88190b3e3b1c91d668843 |
completed | May 2, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:14 p.m.