Triple
T1900790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Flaminia |
E37683
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Fano |
E153280
|
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: Fano | Statement: [Via Flaminia, passesNear, Fano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fano Context triple: [Via Flaminia, passesNear, Fano]
-
A.
Fano
chosen
Fano is a historic coastal city in Italy’s Marche region, known for its Roman origins, Adriatic seaside location, and one of the oldest Carnival celebrations in the country.
-
B.
Frascati
Frascati is a historic town in the Alban Hills near Rome, Italy, renowned for its white wine, Renaissance villas, and scenic views over the capital.
-
C.
Pesaro
Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
-
D.
Vico
Vico was an Italian Enlightenment philosopher and historian best known for his pioneering ideas on the cyclical nature of history and the role of culture in shaping human knowledge.
-
E.
Cagli
Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18c46c88190b10c05bf5c6a2d9c |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d0d01c8190ae0c8029fead4008 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.