Triple
T15951934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV V150 |
E386837
|
entity |
| Predicate | aerodynamicTestsPerformed |
P108378
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [TGV V150, aerodynamicTestsPerformed, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerodynamicTestsPerformed Context triple: [TGV V150, aerodynamicTestsPerformed, yes]
-
A.
conductedWindTunnelTests
chosen
Indicates that wind tunnel experiments or evaluations were performed on an object, design, or system.
-
B.
aerodynamicsFeature
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
-
C.
flightTesting
Indicates the process of evaluating and validating an aircraft or aerospace system’s performance, safety, and functionality through controlled test flights.
-
D.
notableAircraftTested
Indicates that the subject conducted tests or evaluations on the specified aircraft, which is considered notable or significant.
-
E.
aerodynamicsDeveloper
Indicates that an entity (typically a person or organization) is responsible for designing, developing, or improving the aerodynamic properties of another entity.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.