Triple
T32831117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electron |
E839690
|
entity |
| Predicate | firstFlightName |
—
|
GENERATED |
| Object | It’s a Test |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightName Context triple: [Electron, firstFlightName, It’s a Test]
-
A.
firstFlightFrom
Indicates that one entity is the earliest (chronologically first) flight departing from a given origin or on a given route among a set of flights.
-
B.
firstAircraftName
Indicates the name assigned to the first aircraft associated with a given entity or context.
-
C.
firstFlightType
chosen
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
D.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
E.
firstPlaneName
Indicates that the subject entity is associated with the name of the first plane in a sequence or set of planes.
- F. None of above.
Provenance (1 batch)
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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:16 a.m.