Triple
T32408757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Wing |
E828154
|
entity |
| Predicate | doctrineDebate |
P57563
|
FINISHED |
| Object | centralized control vs local defense |
—
|
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: centralized control vs local defense | Statement: [Big Wing, doctrineDebate, centralized control vs local defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineDebate Context triple: [Big Wing, doctrineDebate, centralized control vs local defense]
-
A.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
B.
doctrineDiscussed
Indicates that a particular doctrine is the topic of discussion or analysis in a given context or interaction.
-
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.
constitutionalDebate
Indicates a relationship where parties are engaged in discussing, disputing, or interpreting the meaning, scope, or application of a constitution.
-
E.
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.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c25100448190a63e488c812f9e18 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:53 a.m.