Triple
T6154861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCarthey Athletic Center |
E137293
|
entity |
| Predicate | hasDesignPurpose |
P55405
|
FINISHED |
| Object | intimate seating close to the court |
—
|
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: intimate seating close to the court | Statement: [McCarthey Athletic Center, hasDesignPurpose, intimate seating close to the court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignPurpose Context triple: [McCarthey Athletic Center, hasDesignPurpose, intimate seating close to the court]
-
A.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
B.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
C.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
D.
hasDesignIntent
chosen
Indicates that one entity embodies or reflects the planned purpose, function, or conceptual intent defined by another entity.
-
E.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.