Triple
T3515777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin Metro |
E74302
|
entity |
| Predicate | station |
P726
|
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: [Turin Metro, station, Porta Nuova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porta Nuova Context triple: [Turin Metro, station, Porta Nuova]
-
A.
Torino Porta Nuova
chosen
Torino Porta Nuova is the main railway station in Turin, Italy, serving as a major national and international transport hub.
-
B.
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.
-
C.
Piazzale Michelangelo
Piazzale Michelangelo is a famous panoramic terrace in Florence, Italy, renowned for its sweeping views over the historic city and the Arno River.
-
D.
Piazza d'Italia
Piazza d'Italia is a celebrated postmodern public plaza in New Orleans, designed by architect Charles Moore and known for its playful classical references and theatrical urban design.
-
E.
Città della Salute e della Scienza di Torino
Città della Salute e della Scienza di Torino is a major medical and research hospital complex in Turin, Italy, serving as a leading center for healthcare, clinical training, and biomedical research.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7a5ab08190971c9dfd6550eb2d |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.