Triple
T5893574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Lion Air Flight 610 crash site |
E131048
|
entity |
| Predicate | timeAfterTakeoff |
P67181
|
FINISHED |
| Object | shortly after takeoff from Jakarta |
—
|
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: shortly after takeoff from Jakarta | Statement: [2018 Lion Air Flight 610 crash site, timeAfterTakeoff, shortly after takeoff from Jakarta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAfterTakeoff Context triple: [2018 Lion Air Flight 610 crash site, timeAfterTakeoff, shortly after takeoff from Jakarta]
-
A.
timeAfterTakeoffOfBirdStrike
Indicates the elapsed time between an aircraft’s takeoff and the occurrence of a bird strike.
-
B.
flightPhase
Indicates the specific stage or phase of an aircraft’s operation within a flight (e.g., taxi, takeoff, climb, cruise, descent, landing).
-
C.
landingTimeUTC
Indicates the exact time, expressed in Coordinated Universal Time (UTC), at which an entity (such as an aircraft or spacecraft) completes its landing.
-
D.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
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. 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.