Triple
T4226955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panavia Tornado |
E94480
|
entity |
| Predicate | programPartners |
P13425
|
FINISHED |
| Object | Aeritalia |
E405324
|
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: Aeritalia | Statement: [Panavia Tornado, programPartners, Aeritalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeritalia Context triple: [Panavia Tornado, programPartners, Aeritalia]
-
A.
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.
-
B.
Avio Aero
Avio Aero is an Italian aerospace company specializing in the design, production, and maintenance of aircraft engines and gas turbines for civil and military applications.
-
C.
Alenia Aeronautica
chosen
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.
SIAI-Marchetti
SIAI-Marchetti was an Italian aircraft manufacturer known for producing light military trainers and aerobatic aircraft.
-
E.
Fiat Aviazione
Fiat Aviazione was the aviation division of the Italian manufacturer Fiat, responsible for designing and producing military and civil aircraft, particularly during the early to mid-20th century.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b77294208190a53d6950dbf36351 |
completed | March 14, 2026, 7:30 p.m. |
Created at: March 12, 2026, 11:04 p.m.