Triple
T18412094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Metro Line 1 |
E441782
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Rho Fiera |
—
|
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: Rho Fiera | Statement: [Milan Metro Line 1, hasStation, Rho Fiera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rho Fiera Context triple: [Milan Metro Line 1, hasStation, Rho Fiera]
-
A.
Fusso
Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
-
B.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
C.
Ghia
Ghia is an Italian automotive design and coachbuilding firm renowned for its influential car designs and collaborations with major manufacturers throughout the 20th century.
-
D.
Janetti
Janetti is the surname of Gary Janetti, an American television writer, producer, and satirist known for his work on shows like "Will & Grace" and "Family Guy."
-
E.
Rho
chosen
Rho is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and industrial hub.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a24e130819082b92f98d8d5fa3c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.