Triple
T24553595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper Memorial Library |
E607444
|
entity |
| Predicate | designContext |
P115298
|
FINISHED |
| Object | original centerpiece of the University of Chicago campus plan |
—
|
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: original centerpiece of the University of Chicago campus plan | Statement: [Harper Memorial Library, designContext, original centerpiece of the University of Chicago campus plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designContext Context triple: [Harper Memorial Library, designContext, original centerpiece of the University of Chicago campus plan]
-
A.
designScope
Indicates the range, boundaries, or extent of responsibility covered by a particular design activity or decision.
-
B.
designCenter
Indicates that an entity serves as the primary location or hub where another entity is designed or conceptually developed.
-
C.
hasDesignContext
chosen
Indicates that something is associated with, or defined within, a particular design context or design environment.
-
D.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
E.
designModel
Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8cf1ef88190977da0fb79796616 |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.