Triple
T16598030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansaldobreda Sirio trams |
E403259
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | AnsaldoBreda |
E551924
|
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: AnsaldoBreda | Statement: [Ansaldobreda Sirio trams, manufacturer, AnsaldoBreda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AnsaldoBreda Context triple: [Ansaldobreda Sirio trams, manufacturer, AnsaldoBreda]
-
A.
AnsaldoBreda
chosen
AnsaldoBreda is an Italian rolling stock manufacturer known for producing trains, trams, and metro vehicles for rail systems worldwide.
-
B.
Avio S.p.A.
Avio S.p.A. is an Italian aerospace company specializing in the design, production, and maintenance of aircraft and space propulsion systems.
-
C.
Alenia Aeronautica
Alenia Aeronautica was an Italian aerospace company known for designing and producing military and civilian aircraft before being merged into Leonardo’s aeronautics division.
-
D.
Ansaldo
Ansaldo was a major Italian engineering and manufacturing company best known for producing military vehicles, armaments, and industrial machinery in the 19th and 20th centuries.
-
E.
SIAI-Marchetti
SIAI-Marchetti was an Italian aircraft manufacturer known for producing light military trainers and aerobatic aircraft.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d7367308190bf57b4a6a7bd33cc |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a226788190bfad73ffb6b32ec4 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.