Triple
T5322717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario general election |
E121711
|
entity |
| Predicate | historicalFirstYear |
P10338
|
FINISHED |
| Object | 1867 |
—
|
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: 1867 | Statement: [Ontario general election, historicalFirstYear, 1867]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFirstYear Context triple: [Ontario general election, historicalFirstYear, 1867]
-
A.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
B.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
C.
inscriptionYearOfFirstElements
Indicates the year in which the first elements of something (such as a site, object, or collection) were officially inscribed or recorded in a designated register or list.
-
D.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.