Triple
T3387828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Borman |
E71343
|
entity |
| Predicate | flightHours |
P47175
|
FINISHED |
| Object | over 6,000 hours of flying time |
—
|
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: over 6,000 hours of flying time | Statement: [Frank Borman, flightHours, over 6,000 hours of flying time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightHours Context triple: [Frank Borman, flightHours, over 6,000 hours of flying time]
-
A.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
-
B.
aircraftFlown
Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
-
C.
timeInSpace
Indicates the amount of time an entity has spent in outer space.
-
D.
lastCrewedFlightDate
Indicates the calendar date on which an aircraft, spacecraft, or similar vehicle was most recently operated with a human crew onboard.
-
E.
airTime
Indicates the duration or scheduling time during which something, typically a broadcast or performance, is transmitted or presented.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb66448fc8190a8582145f02bb1d9 |
completed | March 8, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69ada43615f08190ac2275020d157983 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada527ff308190813a7ffdcdec4322 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:14 p.m.