Triple
T15292469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Turin Metro) |
E365560
|
entity |
| Predicate | extendedTo |
P1673
|
FINISHED |
| Object | Porta Nuova |
E73576
|
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: Porta Nuova | Statement: [Line 1 (Turin Metro), extendedTo, Porta Nuova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porta Nuova Context triple: [Line 1 (Turin Metro), extendedTo, Porta Nuova]
-
A.
Porta Nuova
Porta Nuova is a major business and redevelopment district in central Milan known for its modern skyscrapers, contemporary architecture, and role as one of Italy’s primary financial hubs.
-
B.
Torino Porta Nuova
chosen
Torino Porta Nuova is the main railway station in Turin, Italy, serving as a major national and international transport hub.
-
C.
Porta Senese
Porta Senese is a historic city gate in the coastal town of Porto Ercole, Italy, marking one of the traditional entrances through its old defensive walls.
-
D.
Torino Porta Susa
Torino Porta Susa is a major high-speed and regional railway hub in Turin, Italy, serving as one of the city’s principal train stations.
-
E.
Piazzale Europa
Piazzale Europa is a public square in Trieste, Italy, best known for giving its name to the nearby university campus area.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.