Triple
T21641014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian cuisine |
E534088
|
entity |
| Predicate | hasDish |
P17589
|
FINISHED |
| Object | focaccia |
—
|
NE NERFINISHED |
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: focaccia | Statement: [Italian cuisine, hasDish, focaccia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: focaccia Context triple: [Italian cuisine, hasDish, focaccia]
-
A.
focaccia genovese
chosen
Focaccia genovese is a classic Ligurian flatbread known for its airy, tender crumb, generous olive oil, and characteristic dimpled surface.
-
B.
Crostini
Crostini is the Linux container system in ChromeOS that allows users to run Linux applications alongside Chrome apps on Chromebooks.
-
C.
Panizza
Panizza is an Italian-origin surname borne by various notable individuals in fields such as religion, arts, and public life.
-
D.
francesinha
Francesinha is a hearty Portuguese sandwich, typically layered with meats and cheese, covered in a rich beer-based sauce and often served with fries.
-
E.
Cornetto
Cornetto is a popular global ice cream brand best known for its cone-shaped frozen desserts filled with ice cream, chocolate, and nuts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef53917f3c81909e7f4074beecefd3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.