Triple
T13553746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castelli Romani |
E323714
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Lanuvio |
E199557
|
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: Lanuvio | Statement: [Castelli Romani, hasTown, Lanuvio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanuvio Context triple: [Castelli Romani, hasTown, Lanuvio]
-
A.
Lanuvium
chosen
Lanuvium was an ancient Latin city in central Italy, noted for its important sanctuary of Juno Sospita and its later incorporation into the Roman state.
-
B.
Vezio
Vezio is a small village in northern Italy overlooking Lake Como, known for its scenic views and the medieval Castello di Vezio.
-
C.
Bucchianico
Bucchianico is a small Italian town in the Abruzzo region, known for its historic hilltop setting and traditional festivals.
-
D.
Larciano
Larciano is a small Italian municipality in Tuscany known for its medieval castle and scenic location in the Valdinievole area.
-
E.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.