Triple
T13164108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collegno |
E312801
|
entity |
| Predicate | hasTransportation |
P105
|
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: [Collegno, hasTransportation, Turin Metro Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turin Metro Line 1 Context triple: [Collegno, hasTransportation, 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.
Genoa Metro Line 1
Genoa Metro Line 1 is the primary light metro line serving the Italian city of Genoa, connecting key central and suburban areas through an underground rapid transit system.
-
C.
Milan Metro Line 1
Milan Metro Line 1 is the oldest and one of the main rapid transit lines in Milan, Italy, running primarily on an east–west axis and serving key commercial and exhibition areas of the city.
-
D.
Brescia Metro
Brescia Metro is a fully automated light metro system serving the city of Brescia in northern Italy.
-
E.
Milan Metro
The Milan Metro is the rapid transit system serving Milan, Italy, forming the backbone of the city’s public transportation network with multiple underground lines connecting central and suburban areas.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.