Triple
T5602131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeke |
E147143
|
entity |
| Predicate | referredAircraftNotableFeature |
P65000
|
FINISHED |
| Object | exceptional maneuverability |
—
|
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: exceptional maneuverability | Statement: [Zeke, referredAircraftNotableFeature, exceptional maneuverability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredAircraftNotableFeature Context triple: [Zeke, referredAircraftNotableFeature, exceptional maneuverability]
-
A.
notableAircraftUsed
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
B.
notableTransportAircraft
Indicates that the subject is a transport aircraft recognized for particular significance, such as historical importance, performance, or impact on aviation.
-
C.
notableImportedAircraft
Indicates that an entity is notably recognized for having imported a particular aircraft model or type.
-
D.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
-
E.
notableAircraftFamily
Indicates that one entity is a well-known or historically significant family or series of aircraft associated with the other entity.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020dbd6dc8190ba011876c205754e |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:39 p.m.