Triple
T169795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Jazz Museum |
E3093
|
entity |
| Predicate | hasTypeOfVisitorExperience |
P5308
|
FINISHED |
| Object | museum exhibits |
—
|
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: museum exhibits | Statement: [American Jazz Museum, hasTypeOfVisitorExperience, museum exhibits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfVisitorExperience Context triple: [American Jazz Museum, hasTypeOfVisitorExperience, museum exhibits]
-
A.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
B.
visitedBy
Indicates that a location or entity is the destination or target of a visit performed by another entity.
-
C.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
D.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
E.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b82bdc81908ebd50fb05d511df |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25665f5b8819096ca3e084faf976e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.