Triple
T13840057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratification of the United States Constitution |
E332632
|
entity |
| Predicate | keyDebateTopic |
P57619
|
FINISHED |
| Object | scope of federal power |
—
|
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: scope of federal power | Statement: [Ratification of the United States Constitution, keyDebateTopic, scope of federal power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDebateTopic Context triple: [Ratification of the United States Constitution, keyDebateTopic, scope of federal power]
-
A.
mainDebateTopic
chosen
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
B.
debateTopic
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
C.
keyFigureInDebate
Indicates that an entity plays a central, influential, or prominently recognized role in a particular debate or controversy.
-
D.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
E.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.