Triple
T1203755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Manitoba |
E25840
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object |
Floreat
Floreat is the Latin motto of the University of Manitoba, expressing a wish for the institution to flourish and prosper.
|
E137955
|
NE FINISHED |
How this triple was built (4 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: Floreat | Statement: [University of Manitoba, motto, Floreat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floreat Context triple: [University of Manitoba, motto, Floreat]
-
A.
Floreat Etona
Floreat Etona is the traditional Latin motto associated with Eton College, expressing the wish that the school may flourish.
-
B.
The Springs
The Springs is a themed accommodation area within Disney's Saratoga Springs Resort & Spa at Walt Disney World, styled after historic New York mineral spring retreats.
-
C.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
D.
Allapattah
Allapattah is a diverse, historically working-class neighborhood in Miami, Florida, known for its strong Dominican community, industrial areas, and proximity to downtown.
-
E.
Greenfield
Greenfield is a town located within Saratoga County in the state of New York, United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Floreat Triple: [University of Manitoba, motto, Floreat]
Generated description
Floreat is the Latin motto of the University of Manitoba, expressing a wish for the institution to flourish and prosper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Floreat Target entity description: Floreat is the Latin motto of the University of Manitoba, expressing a wish for the institution to flourish and prosper.
-
A.
Floreat Etona
Floreat Etona is the traditional Latin motto associated with Eton College, expressing the wish that the school may flourish.
-
B.
The Springs
The Springs is a themed accommodation area within Disney's Saratoga Springs Resort & Spa at Walt Disney World, styled after historic New York mineral spring retreats.
-
C.
Davidville
Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
-
D.
Allapattah
Allapattah is a diverse, historically working-class neighborhood in Miami, Florida, known for its strong Dominican community, industrial areas, and proximity to downtown.
-
E.
Greenfield
Greenfield is a town located within Saratoga County in the state of New York, United States.
- F. None of above. chosen
Provenance (5 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3caed481908e9e4b6b9daa544d |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fa90f608190bec0c7dff1d7c9ae |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac808a919081908253d1778695ab2d |
completed | March 7, 2026, 7:46 p.m. |
Created at: March 1, 2026, 7:46 p.m.