Triple
T21843780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo-Romance dialects |
E539321
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Romanesco |
—
|
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: Romanesco | Statement: [Italo-Romance dialects, hasMember, Romanesco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romanesco Context triple: [Italo-Romance dialects, hasMember, Romanesco]
-
A.
Romanesco
chosen
Romanesco is a central Italian dialect of the Italian language traditionally spoken in and around Rome.
-
B.
Romanesco
Romanesco is a variety of cauliflower known for its striking lime-green color and naturally occurring fractal, spiral-shaped florets.
-
C.
Frascatani
Frascatani are the inhabitants or natives of Frascati, a historic town in the Lazio region near Rome, Italy.
-
D.
Pisano
Pisano is the surname of Judith Belushi Pisano, an American writer and artist best known for her work preserving and chronicling the legacy of comedian John Belushi.
-
E.
Cantalupani
Cantalupani are the inhabitants of Cantalupo in Sabina, a town in the Lazio region of central Italy.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5248f08190ba208512eafbe7ad |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.