Triple
T19515568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carpinetani |
E488267
|
entity |
| Predicate | usesGentilic |
P191
|
FINISHED |
| Object | Carpinetani |
—
|
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: Carpinetani | Statement: [Carpinetani, usesGentilic, Carpinetani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpinetani Context triple: [Carpinetani, usesGentilic, Carpinetani]
-
A.
Carpinetani
chosen
The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
-
B.
Scarlino
Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
E.
Cagni
Cagni is an Italian surname most notably associated with Luigi Cagni, a former professional footballer and football manager.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.