Triple
T23372170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White stork |
E593503
|
entity |
| Predicate | usesSoaringFlight |
P129274
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [White stork, usesSoaringFlight, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSoaringFlight Context triple: [White stork, usesSoaringFlight, true]
-
A.
canFlyUsing
chosen
Indicates that an entity is capable of flying by means of, or with the assistance of, a specified method, tool, or mechanism.
-
B.
poweredFlight
Indicates that an entity moves through the air using an onboard propulsion system that provides sustained thrust, rather than gliding or falling unpowered.
-
C.
flightAbility
Indicates the capability or potential of an entity to fly or engage in powered or unpowered aerial movement.
-
D.
hasFixedWingTraining
Indicates that an entity has received training in operating or working with fixed-wing aircraft.
-
E.
hasFixedWingTrainingRole
Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.