Triple
T23534066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via del Corso |
E576645
|
entity |
| Predicate | modernNameOf |
P20950
|
FINISHED |
| Object | Via Lata |
—
|
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: Via Lata | Statement: [Via del Corso, modernNameOf, Via Lata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Via Lata Context triple: [Via del Corso, modernNameOf, Via Lata]
-
A.
Via Lata
chosen
Via Lata was the ancient Roman name for the central thoroughfare in Rome now known as Via del Corso, historically one of the city’s main urban arteries.
-
B.
Via Manci
Via Manci is a historic street in the old town of Trento, Italy, known for its medieval and Renaissance buildings and central role in the city’s urban fabric.
-
C.
Via Diagonalis
Via Diagonalis is an important ancient Roman road that connected central Europe with the Balkans and the eastern provinces of the empire.
-
D.
Dodamarg
Dodamarg is a town in Maharashtra, India, known primarily as the administrative center of the surrounding Dodamarg taluka.
-
E.
M.G. Road
M.G. Road is a major commercial and transportation hub in Bengaluru, India, known for its shopping, offices, and metro connectivity.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae14ae3c8190aa2714ea07a4658a |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.