Triple
T25727802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Full House |
E645155
|
entity |
| Predicate | catalogInLabel |
P26507
|
FINISHED |
| Object | Riverside catalog |
—
|
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: Riverside catalog | Statement: [Full House, catalogInLabel, Riverside catalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogInLabel Context triple: [Full House, catalogInLabel, Riverside catalog]
-
A.
labelCatalog
chosen
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
B.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
C.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
D.
catalogName
Indicates that an entity has a specific catalog designation or title by which it is listed or identified.
-
E.
catalogueFor
Indicates that one entity serves as a catalog or organized listing that describes, indexes, or inventories another entity.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcb8c1908190968e113a3f6f0929 |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 11:07 p.m.