Triple
T14247068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganmain pies |
E353161
|
entity |
| Predicate | dishCategory |
P14778
|
FINISHED |
| Object | meat pies |
—
|
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: meat pies | Statement: [Ganmain pies, dishCategory, meat pies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dishCategory Context triple: [Ganmain pies, dishCategory, meat pies]
-
A.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
B.
dishType
chosen
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
C.
cuisineType
Indicates the type or style of food associated with an entity, such as a restaurant or dish.
-
D.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
E.
menuCategory
Indicates the classification relationship that assigns an item to a specific section or category within a menu.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.