Triple
T15429107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Metro Line 3 |
E369587
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Rogoredo FS
Rogoredo FS is a Milan Metro station on Line 3 that serves the Rogoredo railway hub in the southeastern part of the city.
|
E1156286
|
NE FINISHED |
How this triple was built (4 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: Rogoredo FS | Statement: [Milan Metro Line 3, station, Rogoredo FS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogoredo FS Context triple: [Milan Metro Line 3, station, Rogoredo FS]
-
A.
Garibaldi FS
Garibaldi FS is a major Milan railway and metro interchange station that connects regional and high-speed trains with multiple urban transit lines.
-
B.
FUGA
FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
-
C.
FuG 220
FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
-
D.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
E.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rogoredo FS Triple: [Milan Metro Line 3, station, Rogoredo FS]
Generated description
Rogoredo FS is a Milan Metro station on Line 3 that serves the Rogoredo railway hub in the southeastern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rogoredo FS Target entity description: Rogoredo FS is a Milan Metro station on Line 3 that serves the Rogoredo railway hub in the southeastern part of the city.
-
A.
Garibaldi FS
Garibaldi FS is a major Milan railway and metro interchange station that connects regional and high-speed trains with multiple urban transit lines.
-
B.
FUGA
FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
-
C.
FuG 220
FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
-
D.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
E.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
- F. None of above. chosen
Provenance (5 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b4c13e08190b2ccee59da02d0ae |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:21 a.m.