Triple
T3613152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Mike’s Subs |
E76535
|
entity |
| Predicate | preparationStyle |
P35314
|
FINISHED |
| Object | freshly sliced meats and cheeses to order |
—
|
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: freshly sliced meats and cheeses to order | Statement: [Jersey Mike’s Subs, preparationStyle, freshly sliced meats and cheeses to order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparationStyle Context triple: [Jersey Mike’s Subs, preparationStyle, freshly sliced meats and cheeses to order]
-
A.
preparationPreference
Indicates how an entity prefers something to be prepared, processed, or made ready (e.g., style, method, or conditions of preparation).
-
B.
typicalPreparation
chosen
Indicates the usual or standard way in which something is prepared or made.
-
C.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
-
D.
traditionalPreparation
Indicates that something is prepared or made using customary, long-established methods or techniques associated with a particular culture or practice.
-
E.
servingStyle
Indicates how something (typically food or drink) is presented or offered for consumption or use.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2786f808190be4e42734a79d74e |
completed | March 8, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.