Triple
T5530216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynyrd Skynyrd |
E145028
|
entity |
| Predicate | planeCrashLocation |
P64753
|
FINISHED |
| Object | near Gillsburg, Mississippi, United States |
—
|
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: near Gillsburg, Mississippi, United States | Statement: [Lynyrd Skynyrd, planeCrashLocation, near Gillsburg, Mississippi, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planeCrashLocation Context triple: [Lynyrd Skynyrd, planeCrashLocation, near Gillsburg, Mississippi, United States]
-
A.
survivingAircraftLocation
Indicates the location where an aircraft that has survived an incident or event is situated.
-
B.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
C.
locationOnAircraft
Indicates that one entity is physically situated on or within an aircraft.
-
D.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
E.
lastFlightLandingSite
Indicates the location where an entity’s most recent flight concluded and landed.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9b59bc8190a8758b3be54831e9 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.