Triple
T6384210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | open-question argument |
E143657
|
entity |
| Predicate | usedInDebate |
P57644
|
FINISHED |
| Object | debates over moral reductionism |
—
|
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: debates over moral reductionism | Statement: [open-question argument, usedInDebate, debates over moral reductionism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInDebate Context triple: [open-question argument, usedInDebate, debates over moral reductionism]
-
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.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
C.
fieldOfDebate
chosen
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06856434481909cbbca1c12c6e070 |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.