Triple
T18579197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piacentini |
E454064
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | Piacentini |
—
|
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: Piacentini | Statement: [Piacentini, writtenForm, Piacentini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piacentini Context triple: [Piacentini, writtenForm, Piacentini]
-
A.
Piacentini
chosen
Piacentini are the inhabitants or natives of the Italian city of Piacenza, located in the Emilia-Romagna region.
-
B.
Frascatani
Frascatani are the inhabitants or natives of Frascati, a historic town in the Lazio region near Rome, Italy.
-
C.
Rocchegiani
Rocchegiani are the inhabitants or natives of Rocca di Papa, a town in the Lazio region of central Italy.
-
D.
Ascolani
Ascolani are the inhabitants or natives of Ascoli Piceno, a historic city in Italy’s Marche region.
-
E.
Lucchesi
Lucchesi is the Italian plural form of "Lucchese," typically referring to people or things from the city or province of Lucca in Tuscany, 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543ce63188190b14a37c5ca9c2726 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.