Triple
T11901363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utica greens |
E283157
|
entity |
| Predicate | commonCheeseUsed |
P102143
|
FINISHED |
| Object | Romano cheese |
E401311
|
NE 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: Romano cheese | Statement: [Utica greens, commonCheeseUsed, Romano cheese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romano cheese Context triple: [Utica greens, commonCheeseUsed, Romano cheese]
-
A.
Pecorino Romano
chosen
Pecorino Romano is a hard, salty Italian sheep’s milk cheese traditionally produced in the regions of Lazio and Sardinia, widely used for grating over pasta and in Roman cuisine.
-
B.
Grana Padano
Grana Padano is a hard, slow-ripened Italian cheese from the Po River Valley, known for its granular texture and savory, nutty flavor.
-
C.
Pecorino Toscano cheese
Pecorino Toscano cheese is a firm, sheep’s milk cheese from central Italy known for its smooth texture and mildly nutty, buttery flavor.
-
D.
Gorgonzola
Gorgonzola is a famous Italian blue cheese known for its creamy texture and distinctive sharp, tangy flavor.
-
E.
Cantal cheese
Cantal cheese is a traditional French cow’s milk cheese from the Auvergne region, known for its firm texture and nutty, tangy flavor that intensifies with age.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4183d29b081908cfbf4d91a365681 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.