Triple
T24204953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landscape of Light |
E600078
|
entity |
| Predicate | hasMuseumCluster |
P155201
|
FINISHED |
| Object | Paseo del Arte (Art Walk) |
—
|
NE NERFINISHED |
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: Paseo del Arte (Art Walk) | Statement: [Landscape of Light, hasMuseumCluster, Paseo del Arte (Art Walk)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumCluster Context triple: [Landscape of Light, hasMuseumCluster, Paseo del Arte (Art Walk)]
-
A.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
B.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
C.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
D.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
E.
hasMuseumCollectionFocus
Indicates that a museum collection is primarily centered on, dedicated to, or thematically focused around a particular subject, type of object, or area of interest.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca52cb881908c99913ea93bc88e |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.