Triple
T6591951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macchi C.200 Saetta |
E148382
|
entity |
| Predicate | nationalityMarkings |
P29893
|
FINISHED |
| Object | Italian Air Force markings |
—
|
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: Italian Air Force markings | Statement: [Macchi C.200 Saetta, nationalityMarkings, Italian Air Force markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityMarkings Context triple: [Macchi C.200 Saetta, nationalityMarkings, Italian Air Force markings]
-
A.
nationalityMarkingFor
Indicates that something serves as a marker or indicator of the nationality associated with a given entity.
-
B.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
C.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
D.
aircraftMarking
chosen
Indicates a relationship where a marking, symbol, or identifier is applied to or displayed on an aircraft.
-
E.
hasNationalSymbol
Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
- F. None of above.
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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.