Triple
T32465654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver–Colorado College rivalry |
E829696
|
entity |
| Predicate | secondSchoolFounded |
P197601
|
FINISHED |
| Object | University of Denver |
—
|
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: University of Denver | Statement: [Denver–Colorado College rivalry, secondSchoolFounded, University of Denver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSchoolFounded Context triple: [Denver–Colorado College rivalry, secondSchoolFounded, University of Denver]
-
A.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
B.
schoolTypeFounded
Indicates the type or category of school that was established or created in a founding event.
-
C.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
D.
foundedAsLyceumAround
Indicates that an institution or organization was originally established as a lyceum around a specified time.
-
E.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 1, 2026, 12:57 a.m.