Triple
T22593206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melton Mowbray pork pie |
E565002
|
entity |
| Predicate | hasCrustCharacteristic |
P104763
|
FINISHED |
| Object | bowed-out sides |
—
|
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: bowed-out sides | Statement: [Melton Mowbray pork pie, hasCrustCharacteristic, bowed-out sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrustCharacteristic Context triple: [Melton Mowbray pork pie, hasCrustCharacteristic, bowed-out sides]
-
A.
hasCrust
chosen
Indicates that one entity possesses or is characterized by an outer crust layer.
-
B.
hasCrustType
Indicates that an entity (such as a pizza or pie) is associated with a specific type or style of crust.
-
C.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
D.
hasCrustalType
Indicates that an object or location is associated with a specific type or classification of crust (e.g., continental, oceanic).
-
E.
crustTypeProduced
Indicates the type of crust that is produced as the result of a particular process, action, or production activity.
- 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.