Triple
T8311988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Populares |
E194610
|
entity |
| Predicate | academicDebate |
P57563
|
FINISHED |
| Object | whether they were a coherent party or loose tendency |
—
|
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: whether they were a coherent party or loose tendency | Statement: [Populares, academicDebate, whether they were a coherent party or loose tendency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicDebate Context triple: [Populares, academicDebate, whether they were a coherent party or loose tendency]
-
A.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
-
B.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
C.
debateTopic
chosen
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
D.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
E.
canDebate
Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f504ca8819087fb1f731f7a7cfd |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.