Triple
T25964563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential debates (third-party forums) |
E645629
|
entity |
| Predicate | formatCanInclude |
P33419
|
FINISHED |
| Object | rebuttals |
—
|
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: rebuttals | Statement: [United States presidential debates (third-party forums), formatCanInclude, rebuttals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatCanInclude Context triple: [United States presidential debates (third-party forums), formatCanInclude, rebuttals]
-
A.
includeFormat
chosen
Indicates that one entity contains or specifies the format or representation type of another entity.
-
B.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
formatRequirement
Indicates that one entity specifies the required structure, style, or arrangement that another entity must follow or conform to.
-
E.
formatPartOf
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 22, 2026, 8:48 a.m.