Triple
T27712145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Canadian federal election |
E698717
|
entity |
| Predicate | leader4Riding |
P170976
|
FINISHED |
| Object | Red Deer |
—
|
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: Red Deer | Statement: [1962 Canadian federal election, leader4Riding, Red Deer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leader4Riding Context triple: [1962 Canadian federal election, leader4Riding, Red Deer]
-
A.
leader2Riding
Indicates that the second leader is engaged in the act of riding something or someone.
-
B.
leader3Riding
Indicates that the third leader entity is engaged in the action of riding something or someone.
-
C.
leader1Riding
Indicates that the first leader is mounted on and riding another entity (such as an animal or vehicle).
-
D.
motorcycleSport
Indicates a relationship where an entity is engaged in or associated with the sport or competitive activity of motorcycle riding.
-
E.
riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 27, 2026, 3:02 p.m.