Triple
T6461906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Waterloo |
E142140
|
entity |
| Predicate | hasCoopSystem |
P33628
|
FINISHED |
| Object | one of the largest post-secondary co-op programs in the world |
—
|
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: one of the largest post-secondary co-op programs in the world | Statement: [University of Waterloo, hasCoopSystem, one of the largest post-secondary co-op programs in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoopSystem Context triple: [University of Waterloo, hasCoopSystem, one of the largest post-secondary co-op programs in the world]
-
A.
hasCoopPrograms
chosen
Indicates that an entity offers or participates in cooperative education programs in partnership with other organizations or institutions.
-
B.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
-
C.
cooperatingState
Indicates that one state collaborates or works jointly with another state toward shared goals or activities.
-
D.
cooperationType
Indicates the specific kind or form of cooperative relationship that exists between the related entities.
-
E.
cooperateThrough
Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f683248190a58beb60f009eafb |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.