Triple
T30481439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kroch Library |
E775597
|
entity |
| Predicate | isMajorResearchLibraryOf |
P78141
|
FINISHED |
| Object | Cornell University |
—
|
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: Cornell University | Statement: [Kroch Library, isMajorResearchLibraryOf, Cornell University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorResearchLibraryOf Context triple: [Kroch Library, isMajorResearchLibraryOf, Cornell University]
-
A.
isMajorResearchLibraryFor
chosen
Indicates that an institution serves as a primary, large-scale research library resource for a particular organization, community, or domain.
-
B.
isMajorLibraryOnCampus
Indicates that a library is one of the primary or most significant libraries located on a particular campus.
-
C.
isMajorCampusFor
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
-
D.
isLargestLibraryOf
Indicates that one library is the largest (by a specified measure, such as collection size or area) among a defined group or within a particular context.
-
E.
isResearchUniversity
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 8:12 p.m.