Triple
T15755110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AgustaWestland |
E381947
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Agusta |
E313895
|
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: Agusta | Statement: [AgustaWestland, predecessor, Agusta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agusta Context triple: [AgustaWestland, predecessor, Agusta]
-
A.
Agusta
chosen
Agusta is an Italian aerospace company known for manufacturing helicopters and aircraft, often under license from other major aviation firms.
-
B.
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.
-
C.
AnsaldoBreda
AnsaldoBreda is an Italian rolling stock manufacturer known for producing trains, trams, and metro vehicles for rail systems worldwide.
-
D.
SIAI-Marchetti
SIAI-Marchetti was an Italian aircraft manufacturer known for producing light military trainers and aerobatic aircraft.
-
E.
Piaggio
Piaggio is an Italian manufacturer best known for producing scooters, motorcycles, and light commercial vehicles, including the iconic Vespa.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.