Triple
T1986708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conscription Crisis of 1917 |
E43157
|
entity |
| Predicate | mainOpposingGroup |
P437
|
FINISHED |
| Object | English-speaking Canadians |
—
|
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: English-speaking Canadians | Statement: [Conscription Crisis of 1917, mainOpposingGroup, English-speaking Canadians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainOpposingGroup Context triple: [Conscription Crisis of 1917, mainOpposingGroup, English-speaking Canadians]
-
A.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
B.
opposesPartyType
Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
-
C.
rivalParty
Indicates that one party is in competition or opposition with another party, often pursuing conflicting goals or interests.
-
D.
opponentSupporters
Indicates that the related entities are supporters or backers of opposing sides in a contest, conflict, or competition.
-
E.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.