Triple
T2989678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Flight 1549 |
E80715
|
entity |
| Predicate | timeAfterTakeoffOfBirdStrike |
P44548
|
FINISHED |
| Object | about 3 minutes |
—
|
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: about 3 minutes | Statement: [US Airways Flight 1549, timeAfterTakeoffOfBirdStrike, about 3 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAfterTakeoffOfBirdStrike Context triple: [US Airways Flight 1549, timeAfterTakeoffOfBirdStrike, about 3 minutes]
-
A.
takeoffDistanceM
Indicates the distance, measured in meters, required for an aircraft (or similar vehicle) to accelerate and lift off from the ground.
-
B.
landingTimeUTC
Indicates the exact time, expressed in Coordinated Universal Time (UTC), at which an entity (such as an aircraft or spacecraft) completes its landing.
-
C.
aircraftImpact
Indicates that an aircraft collides with or crashes into a target or surface, causing an impact event.
-
D.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
E.
fledgingTime
Indicates the time or age at which a young animal, typically a bird, develops enough to leave the nest and become independent.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99dcdb00819092ca5f10396408e0 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.