Triple
T3484615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torino Porta Nuova |
E73576
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object | Turin Metro line 1 |
E74302
|
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: Turin Metro line 1 | Statement: [Torino Porta Nuova, hasService, Turin Metro line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turin Metro line 1 Context triple: [Torino Porta Nuova, hasService, Turin Metro line 1]
-
A.
Turin Metro
chosen
The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
-
B.
Torino Porta Nuova
Torino Porta Nuova is the main railway station in Turin, Italy, serving as a major national and international transport hub.
-
C.
Milan municipal tramway system
The Milan municipal tramway system is the extensive urban tram network serving Milan, Italy, known for its historic rolling stock and central role in the city’s public transportation.
-
D.
Solferino metro station
Solferino metro station is a Paris Métro station in the 7th arrondissement, serving Line 12 near the Musée d'Orsay and the banks of the Seine.
-
E.
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.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb795db88190805b26d9774fdb73 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36820c90c819091b68cff7a0a2cda |
completed | March 13, 2026, 1:28 a.m. |
Created at: March 8, 2026, 3:17 p.m.