Triple
T28368883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timmins campus |
E718568
|
entity |
| Predicate | parentInstitutionLanguage |
P177124
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Timmins campus, parentInstitutionLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentInstitutionLanguage Context triple: [Timmins campus, parentInstitutionLanguage, French]
-
A.
parentInstitution
Indicates that one institution is the higher-level or owning organization to which another institution is subordinate or affiliated.
-
B.
languageOfAwardingInstitution
Indicates the language in which the awarding institution formally grants or documents the award.
-
C.
parentInstitutionLocation
Indicates the geographical location associated with a parent institution in relation to another entity.
-
D.
stateOfParentInstitution
Indicates the current condition or status of the institution that serves as the parent or governing body of another entity.
-
E.
languageOfInstitutionalContext
Indicates the language used as the primary medium of communication within an institutional setting or context.
- F. None of above. chosen
Provenance (4 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 28, 2026, 12:57 a.m.