Triple
T29977773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos-Dumont 14-bis |
E761497
|
entity |
| Predicate | firstOfficialFlightDistance |
P67152
|
FINISHED |
| Object | 60 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: 60 meters | Statement: [Santos-Dumont 14-bis, firstOfficialFlightDistance, 60 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficialFlightDistance Context triple: [Santos-Dumont 14-bis, firstOfficialFlightDistance, 60 meters]
-
A.
firstFlightDistance
chosen
Indicates the distance covered during an entity’s first recorded flight.
-
B.
laterFlightDistance
Indicates the distance associated with a flight that occurs later in time relative to another referenced flight.
-
C.
historicFlightDistance
Indicates the total distance that was covered during a past or completed flight.
-
D.
maximumAltitudeOnFirstFlight
Indicates the highest altitude that was reached during an entity’s first flight.
-
E.
firstCommercialRouteLength
Indicates the length or distance of an entity’s first established commercial route.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a016b2629c48190befb10581560d58f |
completed | May 11, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a0167d5a2088190a68dbd2b87f73e80 |
completed | May 11, 2026, 5:23 a.m. |
Created at: April 29, 2026, 6:34 p.m.