Triple
T22593138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stilton cheese (production area) |
E565000
|
entity |
| Predicate | marketProtection |
P88097
|
FINISHED |
| Object | name Stilton reserved for cheese from area |
—
|
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: name Stilton reserved for cheese from area | Statement: [Stilton cheese (production area), marketProtection, name Stilton reserved for cheese from area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketProtection Context triple: [Stilton cheese (production area), marketProtection, name Stilton reserved for cheese from area]
-
A.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
B.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
protectsSettlement
Indicates that one entity acts to defend or safeguard a settlement from harm, danger, or threats.
-
D.
laterProtects
Indicates that one entity provides protection for another entity at a later point in time than some referenced event or protection.
-
E.
legalProtectionFor
chosen
Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16163cb248190b377b110d80a6730 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:49 p.m.