Triple
T17754565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | medieval University of Cambridge |
E443200
|
entity |
| Predicate | hasCollegiateStructure |
P128227
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [medieval University of Cambridge, hasCollegiateStructure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegiateStructure Context triple: [medieval University of Cambridge, hasCollegiateStructure, true]
-
A.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
B.
isCollegiateLeague
Indicates that a sports league operates at the college or university level, involving teams representing academic institutions.
-
C.
isCollegiateBodyOf
Indicates that one entity functions as the collegiate governing or decision-making body associated with another entity, such as an institution or organization.
-
D.
isIntercollegiate
Indicates that an activity, competition, or relationship occurs between different colleges or universities rather than within a single institution.
-
E.
hasCollegiateChapters
Indicates that an organization maintains officially recognized chapters or branches at one or more colleges or universities.
- 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.