Triple
T29977775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos-Dumont 14-bis |
E761497
|
entity |
| Predicate | firstOfficialFlightDuration |
P146821
|
FINISHED |
| Object | about 7 seconds |
—
|
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 7 seconds | Statement: [Santos-Dumont 14-bis, firstOfficialFlightDuration, about 7 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficialFlightDuration Context triple: [Santos-Dumont 14-bis, firstOfficialFlightDuration, about 7 seconds]
-
A.
flightDuration_minutes
Indicates the length of time, measured in minutes, that a specific flight or air travel segment takes from departure to arrival.
-
B.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
-
C.
flightDurationSeconds
chosen
Indicates the length of time, measured in seconds, that a particular flight or flight segment lasts.
-
D.
maximumFlightDuration
Indicates the longest allowable or observed time period that a flight can continuously operate.
-
E.
firstFlightDistance
Indicates the distance covered during an entity’s first recorded flight.
- 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_6a016ebba0448190b5319243e1b2feca |
completed | May 11, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a016d2486b4819085efe197ee21b707 |
completed | May 11, 2026, 5:46 a.m. |
Created at: April 29, 2026, 6:34 p.m.