Triple
T15429089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Metro Line 3 |
E369587
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Affori FN
Affori FN is a metro station in Milan, Italy, serving Line 3 and providing an interchange with the Ferrovie Nord regional rail network.
|
E1156276
|
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: Affori FN | Statement: [Milan Metro Line 3, station, Affori FN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affori FN Context triple: [Milan Metro Line 3, station, Affori FN]
-
A.
Fizir FN
The Fizir FN is a Yugoslav single-engine trainer aircraft from the interwar period, widely used for pilot training and known for its simple, robust construction.
-
B.
Fizir AF-2
The Fizir AF-2 is a Yugoslav-era aircraft, designed by noted Croatian aviation engineer Rudolf Fizir, known for his series of light training and sport airplanes.
-
C.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
-
D.
Fizir F19
The Fizir F19 is a Yugoslavian light aircraft from the early 20th century, created by noted aircraft designer Rudolf Fizir.
-
E.
FN Minimi
The FN Minimi is a Belgian-designed light machine gun widely used by military forces around the world for squad-level automatic fire support.
- 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: Affori FN Triple: [Milan Metro Line 3, station, Affori FN]
Generated description
Affori FN is a metro station in Milan, Italy, serving Line 3 and providing an interchange with the Ferrovie Nord regional rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Affori FN Target entity description: Affori FN is a metro station in Milan, Italy, serving Line 3 and providing an interchange with the Ferrovie Nord regional rail network.
-
A.
Fizir FN
The Fizir FN is a Yugoslav single-engine trainer aircraft from the interwar period, widely used for pilot training and known for its simple, robust construction.
-
B.
Fizir AF-2
The Fizir AF-2 is a Yugoslav-era aircraft, designed by noted Croatian aviation engineer Rudolf Fizir, known for his series of light training and sport airplanes.
-
C.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
-
D.
Fizir F19
The Fizir F19 is a Yugoslavian light aircraft from the early 20th century, created by noted aircraft designer Rudolf Fizir.
-
E.
FN Minimi
The FN Minimi is a Belgian-designed light machine gun widely used by military forces around the world for squad-level automatic fire support.
- 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.