Triple
T2627786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredericton |
E59160
|
entity |
| Predicate | hasPostSecondaryRole |
P4140
|
FINISHED |
| Object | major university town in New Brunswick |
—
|
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: major university town in New Brunswick | Statement: [Fredericton, hasPostSecondaryRole, major university town in New Brunswick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostSecondaryRole Context triple: [Fredericton, hasPostSecondaryRole, major university town in New Brunswick]
-
A.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
B.
laterPrimaryRole
Indicates that an entity assumes a specified primary role at a later time than another role or state in a sequence.
-
C.
hasFormerPupilRole
Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
-
D.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
E.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.