Triple
T31831436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embraer Legacy 500 |
E812546
|
entity |
| Predicate | rangeWith4Passengers |
P78250
|
FINISHED |
| Object | approximately 3000 nautical miles |
—
|
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: approximately 3000 nautical miles | Statement: [Embraer Legacy 500, rangeWith4Passengers, approximately 3000 nautical miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeWith4Passengers Context triple: [Embraer Legacy 500, rangeWith4Passengers, approximately 3000 nautical miles]
-
A.
rangeWithFullPassengers_nm
chosen
Indicates the maximum distance an entity (such as a vehicle or vessel) can travel when carrying its full complement of passengers, measured in nautical miles.
-
B.
party4Seats
Indicates the number of seats allocated or held by a fourth political party in a governing body or election result.
-
C.
party5Seats
Indicates that a political party holds exactly five seats in a governing or representative body.
-
D.
passengersType
Indicates the type or category of passengers associated with or involved in a given entity or context.
-
E.
passengerCapacityCategory
Indicates the classification of an entity based on the number of passengers it is designed or allowed to carry.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:47 p.m.