Triple
T17120233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Republican primary, 2008 |
E415443
|
entity |
| Predicate | penaltyFromRNC |
P95048
|
FINISHED |
| Object | delegationHalved |
—
|
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: delegationHalved | Statement: [Florida Republican primary, 2008, penaltyFromRNC, delegationHalved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyFromRNC Context triple: [Florida Republican primary, 2008, penaltyFromRNC, delegationHalved]
-
A.
penaltyRules
Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given context.
-
B.
penaltyProvision
Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
-
C.
penaltyMechanism
Indicates a relationship where a rule, system, or process imposes a negative consequence or sanction in response to certain actions or conditions.
-
D.
defaultPenalty
Indicates that a standard or automatically applied penalty is imposed in the absence of a specific or overridden penalty.
-
E.
penaltiesAdjustedBy
chosen
Indicates that one entity’s penalties are modified, recalculated, or otherwise changed as a result of another entity’s influence or action.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.