Triple
T13675617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustave Whitehead |
E327868
|
entity |
| Predicate | allegedFirstFlightDistance |
P67152
|
FINISHED |
| Object | about 800 meters |
—
|
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: about 800 meters | Statement: [Gustave Whitehead, allegedFirstFlightDistance, about 800 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedFirstFlightDistance Context triple: [Gustave Whitehead, allegedFirstFlightDistance, about 800 meters]
-
A.
firstFlightDistance
chosen
Indicates the distance covered during an entity’s first recorded flight.
-
B.
maximumAltitudeOnFirstFlight
Indicates the highest altitude that was reached during an entity’s first flight.
-
C.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
D.
firstFlownAt
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
-
E.
performedFirstFlightWith
Indicates that one entity carried out its inaugural or maiden flight in conjunction with, or using, another entity.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.