Triple
T4220258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France Flight 4590 |
E94320
|
entity |
| Predicate | takeoffPhase |
P53563
|
FINISHED |
| Object | takeoff |
—
|
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: takeoff | Statement: [Air France Flight 4590, takeoffPhase, takeoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeoffPhase Context triple: [Air France Flight 4590, takeoffPhase, takeoff]
-
A.
takeoffMethod
Indicates the method or procedure by which an aircraft or object initiates its takeoff from a surface or launch point.
-
B.
takeoffBase
Indicates the location or base from which a takeoff (such as of an aircraft or flight) originates.
-
C.
flightPhase
chosen
Indicates the specific stage or phase of an aircraft’s operation within a flight (e.g., taxi, takeoff, climb, cruise, descent, landing).
-
D.
takeoffDistanceCharacteristic
Indicates the relationship between an aircraft (or flight operation) and a characteristic describing the distance required or used for takeoff.
-
E.
takeoffDistanceM
Indicates the distance, measured in meters, required for an aircraft (or similar vehicle) to accelerate and lift off from the ground.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.