Triple
T20181352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1940 Republican National Convention |
E492733
|
entity |
| Predicate | issueDebated |
P57644
|
FINISHED |
| Object | U.S. involvement in World War II |
—
|
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: U.S. involvement in World War II | Statement: [1940 Republican National Convention, issueDebated, U.S. involvement in World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issueDebated Context triple: [1940 Republican National Convention, issueDebated, U.S. involvement in World War II]
-
A.
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.
-
B.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
C.
fieldOfDebate
chosen
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
D.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
-
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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668eed2e88190b54b15e6545dbdf8 |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.