Triple
T34697471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trillium Lakelands District School Board |
E891068
|
entity |
| Predicate | supervisoryOfficerTitle |
P3342
|
FINISHED |
| Object | Director of Education |
—
|
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: Director of Education | Statement: [Trillium Lakelands District School Board, supervisoryOfficerTitle, Director of Education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supervisoryOfficerTitle Context triple: [Trillium Lakelands District School Board, supervisoryOfficerTitle, Director of Education]
-
A.
supervisorTitle
Indicates the formal job title or position held by a person who acts as a supervisor in the relationship.
-
B.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
C.
officeHolderTitle
chosen
Indicates the official position or title held by a person in an office or role.
-
D.
commanderTitle
Indicates the official rank or title held by the person who commands or leads a given entity.
-
E.
deputyExecutiveHeadTitle
Indicates the official job title held by a person serving as the deputy to an organization's executive head.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 2:05 a.m.