Triple
T5030524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Museum Overloon |
E113287
|
entity |
| Predicate | accessibleForSchools |
P45097
|
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, accessibleForSchools, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibleForSchools Context triple: [War Museum Overloon, accessibleForSchools, yes]
-
A.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
B.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
C.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
D.
educationProxy
Indicates that one entity serves as a stand-in or representative for another entity in matters related to education or educational status.
-
E.
educationUse
chosen
Indicates the use or application of something specifically for educational purposes or in an educational context.
- 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.