Triple
T17279789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radical Republican Party |
E419491
|
entity |
| Predicate | opposedGovernmentType |
P17029
|
FINISHED |
| Object | monarchy |
—
|
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: monarchy | Statement: [Radical Republican Party, opposedGovernmentType, monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedGovernmentType Context triple: [Radical Republican Party, opposedGovernmentType, monarchy]
-
A.
opponentGovernmentType
Indicates the form or system of government of an opposing or rival entity in a given context.
-
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.
opposedPoliticalEntity
Indicates that one political entity is in opposition or conflict with another in terms of policies, ideology, or power.
-
D.
opposedFormOfGovernment
chosen
Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
-
E.
opposedAdministration
Indicates that one entity actively resisted, challenged, or worked against the governance, policies, or authority exercised by another entity or administration.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e433286f6c8190bf4a757707707e22 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.