Triple
T29404167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark, Upper Canada |
E745738
|
entity |
| Predicate | legislativeSessionsHeld |
P111162
|
FINISHED |
| Object | first Parliament of Upper Canada |
—
|
NE NERFINISHED |
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: first Parliament of Upper Canada | Statement: [Newark, Upper Canada, legislativeSessionsHeld, first Parliament of Upper Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeSessionsHeld Context triple: [Newark, Upper Canada, legislativeSessionsHeld, first Parliament of Upper Canada]
-
A.
hasLegislativeSessionCount
Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
-
B.
parliamentSessionsHeldFrom
Indicates the time period starting from which parliamentary sessions are held or have taken place.
-
C.
legislativeSession
Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
-
D.
parliamentSessionsHeldUntil
Indicates the time or date up to which parliamentary sessions have been held.
-
E.
hasParliamentarySession
chosen
Indicates that a governing body or legislature conducts or holds a formal parliamentary session.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 2:53 p.m.