Triple
T6461663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Architecture (University of Waterloo) |
E142135
|
entity |
| Predicate | coOpModel |
P1854
|
FINISHED |
| Object | alternating academic and work terms |
—
|
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: alternating academic and work terms | Statement: [School of Architecture (University of Waterloo), coOpModel, alternating academic and work terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coOpModel Context triple: [School of Architecture (University of Waterloo), coOpModel, alternating academic and work terms]
-
A.
coOperator
Indicates that two or more entities work together as partners or collaborators in performing an activity or achieving a shared objective.
-
B.
cooperationType
Indicates the specific kind or form of cooperative relationship that exists between the related entities.
-
C.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
-
D.
collaborationModel
chosen
Indicates the type or structure of cooperative interaction or joint work established between 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.