Triple
T30272936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin XB-51 |
E769852
|
entity |
| Predicate | competingAircraft |
P178325
|
FINISHED |
| Object | English Electric Canberra |
—
|
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: English Electric Canberra | Statement: [Martin XB-51, competingAircraft, English Electric Canberra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competingAircraft Context triple: [Martin XB-51, competingAircraft, English Electric Canberra]
-
A.
relatedAircraft
Indicates that there is an association or connection between two aircraft, such as operational, functional, or contextual relatedness.
-
B.
referredAircraftConflict
Indicates that there is a potential or actual conflict involving an aircraft that has been referenced or designated in the current context.
-
C.
opposedAircraftInServiceWith
Indicates that one aircraft was in active service with a party that was in opposition to the party operating the other aircraft.
-
D.
opponentAircraft
Indicates that one aircraft is an adversary or opposing aircraft relative to another in a conflict or competitive context.
-
E.
successorAircraft
Indicates that one aircraft model directly follows and replaces another in a developmental or operational sequence.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 29, 2026, 7:44 p.m.