Triple
T16835220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9M-MRD |
E409256
|
entity |
| Predicate | icaoFlightNumberAtTimeOfDestruction |
P89672
|
FINISHED |
| Object | MAS17 |
—
|
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: MAS17 | Statement: [9M-MRD, icaoFlightNumberAtTimeOfDestruction, MAS17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: icaoFlightNumberAtTimeOfDestruction Context triple: [9M-MRD, icaoFlightNumberAtTimeOfDestruction, MAS17]
-
A.
flightNumberInAccident
Indicates that a specific flight number is associated with an accident event.
-
B.
flightNumberAtTimeOfEvent
chosen
Indicates the specific flight number associated with an entity at the time a particular event occurred.
-
C.
flightPhaseAtDisappearance
Indicates the specific phase of a flight during which the aircraft disappeared or lost contact.
-
D.
lastFlightDesignation
Indicates the specific flight identifier assigned to the most recent flight associated with an entity.
-
E.
finalFlightNumber
Indicates the flight number assigned to the last or concluding segment of a journey or itinerary.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31aa44c8190b4f402f1898e6998 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.