Triple
T24809517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Bircham Newton |
E620744
|
entity |
| Predicate | stationedAircraft |
P77633
|
FINISHED |
| Object | Vickers Wellington |
—
|
NE NERFINISHED |
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: Vickers Wellington | Statement: [RAF Bircham Newton, stationedAircraft, Vickers Wellington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationedAircraft Context triple: [RAF Bircham Newton, stationedAircraft, Vickers Wellington]
-
A.
aircraftStationed
chosen
Indicates that an aircraft is based at, assigned to, or regularly located at a particular place or facility.
-
B.
aircraftStatus
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
-
C.
embarkedAircraft
Indicates that one entity boarded or got onto an aircraft as a passenger or occupant.
-
D.
aircraftFacility
Indicates that a facility is designed, equipped, or used to support the operation, maintenance, or accommodation of aircraft.
-
E.
aircraftInFleet
Indicates that a particular aircraft is included as a member of a specified fleet.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:50 a.m.