Triple
T17754590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | medieval University of Cambridge |
E443200
|
entity |
| Predicate | earliestCollegeFoundedInYear |
P128228
|
FINISHED |
| Object | 1284 |
—
|
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: 1284 | Statement: [medieval University of Cambridge, earliestCollegeFoundedInYear, 1284]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestCollegeFoundedInYear Context triple: [medieval University of Cambridge, earliestCollegeFoundedInYear, 1284]
-
A.
oldestCollegeOf
Indicates that one entity is the oldest college associated with, or within, another entity (such as a university or region).
-
B.
oldestPrivateCollegeIn
Indicates that a college is the oldest privately founded higher-education institution located within a specified geographic area.
-
C.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
D.
universityFoundedAs
Indicates the original form, name, or type under which a university was first established.
-
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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841da9988190b5efde3bbd3f24c3 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.