Triple
T34978691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1891 Chicago mayoral election |
E1008753
|
entity |
| Predicate | fourthPlacePopularVotePercentage |
P157864
|
FINISHED |
| Object | 1.50 |
—
|
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: 1.50 | Statement: [1891 Chicago mayoral election, fourthPlacePopularVotePercentage, 1.50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPlacePopularVotePercentage Context triple: [1891 Chicago mayoral election, fourthPlacePopularVotePercentage, 1.50]
-
A.
fourthPlacePopularVoteShare
chosen
Indicates the proportion of total popular votes received by the candidate or option that finished in fourth place in an election or vote.
-
B.
fourthPlace
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
C.
fifthPlaceVoteSharePercentage
Indicates the percentage of total votes received by the candidate or option that finished in fifth place.
-
D.
fourthPlaceQualifiedFor
Indicates that the entity finishing in fourth place has earned qualification for a subsequent stage, event, or competition.
-
E.
thirdPlacePopularVote
Indicates that an entity finished in third place in terms of the number of votes received in a popular vote contest or election.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.