Triple
T5820676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wright Flyer (1903) |
E129097
|
entity |
| Predicate | longestFlightDurationOnFirstDay |
P1526
|
FINISHED |
| Object | 59 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: 59 seconds | Statement: [Wright Flyer (1903), longestFlightDurationOnFirstDay, 59 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longestFlightDurationOnFirstDay Context triple: [Wright Flyer (1903), longestFlightDurationOnFirstDay, 59 seconds]
-
A.
flightDuration
chosen
Indicates the length of time that a specific flight takes from departure to arrival.
-
B.
flightPeriod
Indicates the time span during which a flight occurs or is scheduled to operate.
-
C.
airlineCommencedOperations
Indicates that an airline began its official flight operations or commercial services on a specific date or at a specific time.
-
D.
winningFlightDate
Indicates the date on which the associated flight is determined to be the winning or selected one among a set of candidate flights.
-
E.
firstFlightAroundWorldDuration
Indicates the length of time taken to complete the first flight around the world.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.