Triple
T4287519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATR 72 |
E97304
|
entity |
| Predicate | takeoffDistance_m |
P36283
|
FINISHED |
| Object | 1300 |
—
|
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: 1300 | Statement: [ATR 72, takeoffDistance_m, 1300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeoffDistance_m Context triple: [ATR 72, takeoffDistance_m, 1300]
-
A.
takeoffDistanceM
chosen
Indicates the distance, measured in meters, required for an aircraft (or similar vehicle) to accelerate and lift off from the ground.
-
B.
takeoffDistanceCharacteristic
Indicates the relationship between an aircraft (or flight operation) and a characteristic describing the distance required or used for takeoff.
-
C.
takeoffDistanceAtMaxWeight
Indicates the distance required for an aircraft to take off when operating at its maximum allowable weight.
-
D.
runwayLength
Indicates the length of a runway associated with an airport or airfield.
-
E.
takeoffMethod
Indicates the method or procedure by which an aircraft or object initiates its takeoff from a surface or launch point.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505ef9fc81909c73e64bf77052ce |
completed | March 12, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.