Triple
T5030511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Museum Overloon |
E113287
|
entity |
| Predicate | hasAircraftExhibits |
P11187
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [War Museum Overloon, hasAircraftExhibits, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAircraftExhibits Context triple: [War Museum Overloon, hasAircraftExhibits, yes]
-
A.
associatedWithMuseumAircraft
Indicates a relationship where an aircraft is connected to, displayed by, or otherwise part of a museum’s collection or exhibits.
-
B.
hasAircraftOnDisplay
chosen
Indicates that an entity exhibits or presents an aircraft as part of a display or collection.
-
C.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
D.
hasOutdoorExhibits
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
-
E.
hasAirshows
Indicates that an entity regularly hosts or features airshows as events.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.