Triple
T1072814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macchi C.205 Veltro |
E23366
|
entity |
| Predicate | usedAfterWar |
P23964
|
FINISHED |
| Object | postwar service in Italian Air Force |
—
|
LITERAL 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: postwar service in Italian Air Force | Statement: [Macchi C.205 Veltro, usedAfterWar, postwar service in Italian Air Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAfterWar Context triple: [Macchi C.205 Veltro, usedAfterWar, postwar service in Italian Air Force]
-
A.
functionAfterCivilWar
Indicates that one entity serves or operates in a particular function, role, or capacity following the end of a civil war.
-
B.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
C.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
D.
postwarOutcome
Indicates the result or consequences that follow for a party or situation after a war has ended.
-
E.
usedWarfareType
Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
- F. None of above. chosen
Provenance (4 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92afad88190b7705923f71fc760 |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8d5076481908640a0d873efdf14 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.