Triple
T28530820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illinois gubernatorial election, 1864 |
E722036
|
entity |
| Predicate | loserPercentage |
P164612
|
FINISHED |
| Object | 45.46% |
—
|
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: 45.46% | Statement: [Illinois gubernatorial election, 1864, loserPercentage, 45.46%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loserPercentage Context triple: [Illinois gubernatorial election, 1864, loserPercentage, 45.46%]
-
A.
loserScore
Indicates the number of points or score achieved by the losing participant in a competitive event or comparison.
-
B.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
C.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
-
D.
loserReceives
Indicates that the entity who loses in a contest, game, or comparison is the one that receives a specified item, outcome, or consequence.
-
E.
loserParty
Indicates that a particular political party was the one that lost in a given election or contest.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fd500908190b678f5ad49ce64f3 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:28 a.m.