Triple
T24906686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Canadian federal election |
E623727
|
entity |
| Predicate | secondPlaceLeader |
P29125
|
FINISHED |
| Object | Lucien Bouchard |
—
|
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: Lucien Bouchard | Statement: [1993 Canadian federal election, secondPlaceLeader, Lucien Bouchard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPlaceLeader Context triple: [1993 Canadian federal election, secondPlaceLeader, Lucien Bouchard]
-
A.
secondLeader
Indicates that an entity serves as the second-ranking leader or deputy leader in relation to another entity.
-
B.
secondPlace
chosen
Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
-
C.
secondRunnerUp
Indicates that one entity finished in third place in a competition or ranking relative to the others.
-
D.
secondSupremeLeader
Indicates that the subject is the second individual to hold the position of supreme leader of the object entity.
-
E.
secondEditionChampion
Indicates that an entity is the champion or winner of the second edition or iteration of a particular event, competition, or series.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 5:27 a.m.