Triple
T20786401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geotrichum candidum |
E511648
|
entity |
| Predicate | associatedWithCheeseType |
P60147
|
FINISHED |
| Object | Camembert-type cheeses |
—
|
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: Camembert-type cheeses | Statement: [Geotrichum candidum, associatedWithCheeseType, Camembert-type cheeses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCheeseType Context triple: [Geotrichum candidum, associatedWithCheeseType, Camembert-type cheeses]
-
A.
cheeseType
chosen
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
B.
cheeseSpeciality
Indicates that one entity is known for or specializes in producing or offering a particular type of cheese.
-
C.
cheeseMadeFrom
Indicates that one entity is produced or derived as cheese from another entity (typically a source ingredient such as milk).
-
D.
hasCheeseVarietyNamedAfterIt
Indicates that something has a type or variety of cheese that is named after it.
-
E.
commonCheeseUsed
Indicates that two or more entities share the same type of cheese commonly used in their preparation or composition.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.