Triple
T21245841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin's 4th congressional district |
E523604
|
entity |
| Predicate | CPVIRating |
P143355
|
FINISHED |
| Object | D+25 |
—
|
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: D+25 | Statement: [Wisconsin's 4th congressional district, CPVIRating, D+25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CPVIRating Context triple: [Wisconsin's 4th congressional district, CPVIRating, D+25]
-
A.
CPVRating
Indicates a content rating relationship that specifies the level of suitability or restriction of some media or material according to the CPV rating system.
-
B.
CERORating
Indicates the creditworthiness assessment assigned by a credit rating agency, reflecting the risk level associated with an entity or financial instrument.
-
C.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
D.
ratingCategory
Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
-
E.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:49 p.m.