Triple
T21338173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickers Vimy of Alcock and Brown |
E526106
|
entity |
| Predicate | yearOfHistoricFlight |
P67370
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Vickers Vimy of Alcock and Brown, yearOfHistoricFlight, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfHistoricFlight Context triple: [Vickers Vimy of Alcock and Brown, yearOfHistoricFlight, 1919]
-
A.
firstAroundTheWorldFlightYear
Indicates the year in which an entity completed the first flight around the world.
-
B.
firstWinningFlightDate
Indicates the date on which the first successful or winning flight associated with the subject occurred.
-
C.
yearOfFlight
chosen
Indicates the specific calendar year in which a particular flight took place or is scheduled to occur.
-
D.
secondAroundTheWorldFlightYear
Indicates the year in which the second successful flight around the world took place.
-
E.
firstCrewedTestFlightYear
Indicates the calendar year in which an entity conducted its first test flight involving a human crew.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898daf02481908c61f00289dc5395 |
completed | April 22, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:43 p.m.