Triple
T1036551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald R. Ford Presidential Museum |
E22375
|
entity |
| Predicate | hasVisitorCenterFunction |
P2976
|
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: [Gerald R. Ford Presidential Museum, hasVisitorCenterFunction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisitorCenterFunction Context triple: [Gerald R. Ford Presidential Museum, hasVisitorCenterFunction, yes]
-
A.
visitorCenter
chosen
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
B.
hasVisitorServices
Indicates that an entity provides services or facilities specifically intended for visitors or guests.
-
C.
hasConservationCentre
Indicates that an entity maintains or is associated with a conservation centre dedicated to protecting natural or cultural resources.
-
D.
hasTypeOfVisitorExperience
Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
-
E.
visitorAttractionStatus
Indicates the current operational or accessibility status of a visitor attraction (e.g., open, closed, restricted).
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.