Triple
T31047203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapua |
E791160
|
entity |
| Predicate | LapuaMovementIdeology |
P96953
|
FINISHED |
| Object | far-right anti-communist |
—
|
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: far-right anti-communist | Statement: [Lapua, LapuaMovementIdeology, far-right anti-communist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LapuaMovementIdeology Context triple: [Lapua, LapuaMovementIdeology, far-right anti-communist]
-
A.
movementOrIdeology
chosen
Indicates that an entity is associated with, advocates for, or belongs to a particular social, political, artistic, or intellectual movement or ideology.
-
B.
opposingFactionIdeology
Indicates that two factions hold ideologies that are in direct conflict or fundamental opposition to each other.
-
C.
ideologyAlsoKnownAs
Indicates that an ideology is referred to by an alternative name, alias, or variant label.
-
D.
dominantPoliticalMovement
Indicates that one political movement holds primary influence or control over the political landscape in a given context.
-
E.
ideologyNamedAfter
Indicates that an ideology is named after a particular person, group, place, or 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:59 p.m.