Triple
T8356179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern United States politics |
E196685
|
entity |
| Predicate | debatedTopic |
P57563
|
FINISHED |
| Object | removal of Confederate symbols |
—
|
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: removal of Confederate symbols | Statement: [Southern United States politics, debatedTopic, removal of Confederate symbols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debatedTopic Context triple: [Southern United States politics, debatedTopic, removal of Confederate symbols]
-
A.
debateTopic
chosen
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
B.
mainDebateTopic
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
C.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
D.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
E.
debatedBetween
Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804a344c819089c0a13fe66e3088 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.