Triple
T31360943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourme d'Ambert |
E799861
|
entity |
| Predicate | crustAppearance |
P171273
|
FINISHED |
| Object | mottled with molds |
—
|
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: mottled with molds | Statement: [Fourme d'Ambert, crustAppearance, mottled with molds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crustAppearance Context triple: [Fourme d'Ambert, crustAppearance, mottled with molds]
-
A.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
B.
crustTypeProduced
Indicates the type of crust that is produced as the result of a particular process, action, or production activity.
-
C.
hasCrustBehavior
Indicates how the crust of an object or material behaves or responds under certain conditions or interactions.
-
D.
hasCrust
Indicates that one entity possesses or is characterized by an outer crust layer.
-
E.
hasCrustalType
Indicates that an object or location is associated with a specific type or classification of crust (e.g., continental, oceanic).
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f4b465881909497440a0facf2f2 |
completed | May 3, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69ea761848190acb31298e65b7892 |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 29, 2026, 9:18 p.m.