Triple
T28222104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo campus |
E711485
|
entity |
| Predicate | formerNameOfAssociatedInstitution |
P119574
|
FINISHED |
| Object | Waterloo Lutheran 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: Waterloo Lutheran University | Statement: [Waterloo campus, formerNameOfAssociatedInstitution, Waterloo Lutheran University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfAssociatedInstitution Context triple: [Waterloo campus, formerNameOfAssociatedInstitution, Waterloo Lutheran University]
-
A.
parentInstitutionFormerName
Indicates that the parent institution of an entity previously operated under a different official name.
-
B.
hasFormerInstitutionName
chosen
Indicates that an institution was previously known by a different name.
-
C.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
D.
laterInstitutionKnownAs
Indicates that an institution was subsequently renamed or rebranded and is now known by a later institutional name.
-
E.
universityFormerName
Indicates that a university previously had a different official name before adopting its current one.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 27, 2026, 10:47 p.m.