Triple
T30186937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull–Aylmer |
E767361
|
entity |
| Predicate | latestFederalElectionYear |
P168834
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Hull–Aylmer, latestFederalElectionYear, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestFederalElectionYear Context triple: [Hull–Aylmer, latestFederalElectionYear, 2021]
-
A.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
B.
largestElectionYear
Indicates the year in which the largest (by size or significance) election associated with the given entity took place.
-
C.
nextElectionYear
Indicates the calendar year in which the subsequent scheduled election for the referenced office, jurisdiction, or entity is to take place.
-
D.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
-
E.
electorsCensusYear
Indicates the specific census year associated with the recorded electors in the relationship.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f7ff8e481908c2471d97b53a44c |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:27 p.m.