Triple
T12949784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavallino Rampante |
E309859
|
entity |
| Predicate | aerobaticDiscipline |
P107654
|
FINISHED |
| Object | formation flying |
—
|
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: formation flying | Statement: [Cavallino Rampante, aerobaticDiscipline, formation flying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerobaticDiscipline Context triple: [Cavallino Rampante, aerobaticDiscipline, formation flying]
-
A.
hasAerobaticDisplayTeam
Indicates that an entity maintains or is associated with a team that performs aerobatic flying displays.
-
B.
flightTesting
Indicates the process of evaluating and validating an aircraft or aerospace system’s performance, safety, and functionality through controlled test flights.
-
C.
rowingDiscipline
Indicates the specific type or category of rowing event or style associated with an entity.
-
D.
flyingDeviceDescribedAs
Indicates that a flying device is characterized or described in a particular way by some attribute, label, or description.
-
E.
aerodynamicsFeature
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:43 p.m.