Triple
T4208610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air France Flight 447 |
E93840
|
entity |
| Predicate | maximumDepthOfWreckage |
P38776
|
FINISHED |
| Object | about 3900 m |
—
|
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 3900 m | Statement: [Air France Flight 447, maximumDepthOfWreckage, about 3900 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDepthOfWreckage Context triple: [Air France Flight 447, maximumDepthOfWreckage, about 3900 m]
-
A.
wreckDepth
chosen
Indicates the depth at which a wreck is located below the water surface.
-
B.
containsWreck
Indicates that one entity includes or holds within it the remains or wreckage of another entity.
-
C.
wreckDiscovery
Indicates that an entity discovers, finds, or identifies a wreck (such as a ruined or destroyed object, vehicle, or structure).
-
D.
maximumVesselDraft
Indicates the greatest depth a vessel can safely extend below the waterline, typically limiting where it can navigate or dock.
-
E.
wreckSalvaged
Indicates that a previously wrecked object or structure has been recovered or salvaged from its damaged or sunken state.
- 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_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. |
Created at: March 12, 2026, 11:03 p.m.