Triple
T23403259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spagna metro station |
E559563
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | Metrebus Roma |
—
|
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: Metrebus Roma | Statement: [Spagna metro station, fareSystem, Metrebus Roma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metrebus Roma Context triple: [Spagna metro station, fareSystem, Metrebus Roma]
-
A.
Metrebus Roma
chosen
Metrebus Roma is the integrated public transport ticketing system used across Rome’s buses, trams, and metro services.
-
B.
Flaminia Berlina
The Flaminia Berlina is a luxury four-door sedan version of the Lancia Flaminia, known for its elegant Pininfarina styling and refined Italian engineering from the late 1950s and 1960s.
-
C.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
-
D.
Trotti
Trotti is a surname most notably associated with American screenwriter and film producer Lamar Trotti.
-
E.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e16f9881908ea4bef465e3af11 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.