Triple
T1514934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds—Grenville—Thousand Islands and Rideau Lakes |
E32097
|
entity |
| Predicate | firstFederalElection |
P29955
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Leeds—Grenville—Thousand Islands and Rideau Lakes, firstFederalElection, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFederalElection Context triple: [Leeds—Grenville—Thousand Islands and Rideau Lakes, firstFederalElection, 2015]
-
A.
firstConstitutionalElectionsHeld
Indicates that the first elections conducted under a new or newly adopted constitution have taken place.
-
B.
firstElectionYear
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an election.
-
C.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
D.
firstDemocraticElectionDate
Indicates the date on which an entity held its first election conducted under a democratic system.
-
E.
firstRepublicanElectionYear
Indicates the year in which the first election involving the Republican Party occurred for the given entity.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a9396d3e1081909aa269b42041c357 |
completed | March 5, 2026, 8:06 a.m. |
Created at: March 4, 2026, 7:26 p.m.