Triple
T36880833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Earhart Airport |
E911472
|
entity |
| Predicate | hasCommemorationSubject |
—
|
GENERATED |
| Object | Amelia Earhart |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommemorationSubject Context triple: [Amelia Earhart Airport, hasCommemorationSubject, Amelia Earhart]
-
A.
isCommemorationSubject
chosen
Indicates that an entity serves as the focus or object of a commemorative act, event, or artifact.
-
B.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
-
C.
hasCommemorativeObject
Indicates that one entity possesses or is associated with an object specifically intended to commemorate or honor a person, event, or occasion.
-
D.
hasCommemorationName
Indicates that an entity has a specific name used to commemorate or honor a person, event, or concept.
-
E.
hasTypeOfPersonCommemorated
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
- F. None of above.
Provenance (1 batch)
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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.