Triple
T4208607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France Flight 447 |
E93840
|
entity |
| Predicate | flightDataRecorderRecoveryDate |
P54755
|
FINISHED |
| Object | 2011-05 |
—
|
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: 2011-05 | Statement: [Air France Flight 447, flightDataRecorderRecoveryDate, 2011-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightDataRecorderRecoveryDate Context triple: [Air France Flight 447, flightDataRecorderRecoveryDate, 2011-05]
-
A.
missionAccidentDate
Indicates the date on which an accident occurred during or in relation to a mission.
-
B.
lastCrewedLandingDate
Indicates the calendar date on which the most recent crewed landing associated with the subject took place.
-
C.
notableFlightEndDate
Indicates the date on which a notable or significant flight concluded or reached its endpoint.
-
D.
undockingDate
Indicates the date on which one object or vehicle separates and moves away from another to which it was previously docked.
-
E.
flightPhaseAtDisappearance
Indicates the specific phase of a flight during which the aircraft disappeared or lost contact.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:03 p.m.