Triple
T33776964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Farman |
E865547
|
entity |
| Predicate | performedFirstPassengerFlightInEurope |
P197640
|
FINISHED |
| Object | 1908 |
—
|
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: 1908 | Statement: [Henri Farman, performedFirstPassengerFlightInEurope, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedFirstPassengerFlightInEurope Context triple: [Henri Farman, performedFirstPassengerFlightInEurope, 1908]
-
A.
madeFirstFlightAcross
Indicates that the subject completed the earliest or inaugural flight across the specified object or region.
-
B.
firstHumanFlight
Indicates that the subject entity is associated with the earliest instance of a human successfully flying (e.g., as the first human flight event or achievement).
-
C.
performedFirstFlightWith
Indicates that one entity carried out its inaugural or maiden flight in conjunction with, or using, another entity.
-
D.
firstNonStopTransatlanticFlightCrew
Indicates that the subject was a member of the crew on the first non-stop transatlantic flight.
-
E.
firstNonStopTransatlanticFlightFrom
Indicates that the subject is the origin location of the first non-stop transatlantic flight associated with the object.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fe9fb88db08190a8f4af350633330e |
completed | May 9, 2026, 2:45 a.m. |
Created at: May 1, 2026, 1:45 a.m.