Triple
T25032434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Democratic Party |
E626883
|
entity |
| Predicate | dominantInStatePoliticsUntil |
P158766
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [South Carolina Democratic Party, dominantInStatePoliticsUntil, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantInStatePoliticsUntil Context triple: [South Carolina Democratic Party, dominantInStatePoliticsUntil, mid-20th century]
-
A.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
B.
hasPoliticalPositionOn
Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
-
C.
periodOfKeyPoliticalRole
Indicates the time span during which an entity held a particular key political role or office.
-
D.
yearsActiveInPolitics
Indicates the span of time during which an entity has been actively involved in political roles, activities, or office.
-
E.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 6:07 a.m.