Triple
T17989168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lethbridge College |
E430321
|
entity |
| Predicate | postSecondaryType |
P130034
|
FINISHED |
| Object | college |
—
|
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: college | Statement: [Lethbridge College, postSecondaryType, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postSecondaryType Context triple: [Lethbridge College, postSecondaryType, college]
-
A.
secondaryStages
Indicates that one or more stages occur as subsequent or follow-up phases relative to an initial or primary stage in a process or sequence.
-
B.
primaryUniversityType
Indicates the main or predominant classification of a university (e.g., by level, focus, or type) within a given context.
-
C.
primaryHighSchool
Indicates that a person attended or is associated with a particular high school as their main or principal secondary education institution.
-
D.
secondaryCampus
Indicates that an institution or organization has an additional, non-primary campus located at a different site.
-
E.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29e47a88190be58b79c73d3e652 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.