Triple
T22936814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ospedaletti |
E569607
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Perinaldo |
—
|
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: Perinaldo | Statement: [Ospedaletti, neighboringMunicipality, Perinaldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perinaldo Context triple: [Ospedaletti, neighboringMunicipality, Perinaldo]
-
A.
Perinaldo
chosen
Perinaldo is a small hilltop village in the Liguria region of northwestern Italy, known as the birthplace of the astronomer Giovanni Domenico Cassini.
-
B.
Giussano
Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
-
C.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
D.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
E.
Bemposta
Bemposta is a small village in northeastern Portugal that forms part of the rural municipality of Mogadouro in the Bragança district.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813608e48190922df7a5386dc391 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.