Triple
T16266047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California's 23rd congressional district |
E394876
|
entity |
| Predicate | hasCookPVITrend |
P5318
|
FINISHED |
| Object | Republican advantage |
—
|
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: Republican advantage | Statement: [California's 23rd congressional district, hasCookPVITrend, Republican advantage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCookPVITrend Context triple: [California's 23rd congressional district, hasCookPVITrend, Republican advantage]
-
A.
hasCookPVI
Indicates that an entity serves as the primary visual illustration (e.g., main image) associated with a cooking-related item, recipe, or process.
-
B.
CookPVI
Indicates the partisan voting index of a political district as measured by the Cook Political Report, showing how strongly it leans toward one major party compared to the national average.
-
C.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
E.
hasPrevalence
Indicates that something occurs or exists at a certain frequency, rate, or proportion within a defined population, group, or context.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.