Triple
T23767481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat CR.40 |
E587423
|
entity |
| Predicate | aircraftConstructionEra |
P66519
|
FINISHED |
| Object | 1930s Italian military aviation |
—
|
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: 1930s Italian military aviation | Statement: [Fiat CR.40, aircraftConstructionEra, 1930s Italian military aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftConstructionEra Context triple: [Fiat CR.40, aircraftConstructionEra, 1930s Italian military aviation]
-
A.
aircraftEra
chosen
Indicates the historical time period or era during which an aircraft was designed, produced, or primarily operated.
-
B.
airfieldEra
Indicates the historical time period or era during which an airfield was active, used, or relevant.
-
C.
airlineEra
Indicates the historical time period or era during which an airline operated or was active.
-
D.
aircraftGeneration
Indicates a generational relationship between aircraft, such as one model being a successor, predecessor, or belonging to a specific generation relative to another.
-
E.
propulsionEra
Indicates the historical period or generation of propulsion technology associated with an entity (e.g., vehicle, engine, or system).
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c4638b248190b512841493778483 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.