Triple
T12383502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Flight |
E295800
|
entity |
| Predicate | nationalityOfCommander |
P10573
|
FINISHED |
| Object | Canadian |
—
|
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: Canadian | Statement: [Black Flight, nationalityOfCommander, Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfCommander Context triple: [Black Flight, nationalityOfCommander, Canadian]
-
A.
commanderNationality
chosen
Indicates the national affiliation or citizenship of a given commander.
-
B.
militaryLeader
Indicates that one entity serves as the commanding military leader of another entity, such as a state, organization, or armed force.
-
C.
commanderForSovietSide
Indicates that an entity serves as a military commander representing or leading forces on the Soviet side in a conflict or operation.
-
D.
occupationForcesCommandedBy
Indicates that a particular occupation force is under the command or authority of a specified commander or commanding entity.
-
E.
nationalityOfPersonnel
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.