Triple
T15800265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N739PA |
E383078
|
entity |
| Predicate | numberOfCrewOnFinalFlight |
P26357
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [N739PA, numberOfCrewOnFinalFlight, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCrewOnFinalFlight Context triple: [N739PA, numberOfCrewOnFinalFlight, 16]
-
A.
honorsNumberOfPassengersAndCrew
Indicates that the subject recognizes or commemorates the specified count of passengers and crew.
-
B.
totalCrewMembers
chosen
Indicates the total number of crew members associated with a given entity or context.
-
C.
hasFlightCrew
Indicates that an entity (such as a flight or aircraft) is associated with one or more people serving as its flight crew.
-
D.
crewOnboard
Indicates that a person or group is serving as crew aboard a specific vehicle, vessel, or craft.
-
E.
firstCrewedTestFlightCrew
Indicates that the subject is a member of the crew on the first crewed test flight of the referenced vehicle or mission.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.