Triple
T23587499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch nationalism |
E582385
|
entity |
| Predicate | hasRadicalForm |
P152815
|
FINISHED |
| Object | far-right Dutch nationalism |
—
|
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 Dutch nationalism | Statement: [Dutch nationalism, hasRadicalForm, far-right Dutch nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadicalForm Context triple: [Dutch nationalism, hasRadicalForm, far-right Dutch nationalism]
-
A.
hasRadicalType
Indicates that an entity is associated with or classified by a specific type of radical (e.g., chemical, linguistic, or structural radical).
-
B.
belongsToRadical
Indicates that something is a component, member, or part of a specified radical group or radical element.
-
C.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
D.
semanticRadicalOfCharacter
Indicates that one element is the semantic radical (meaning-bearing component) of a given written character.
-
E.
hasRomanizationOf
Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
- F. None of above. chosen
Provenance (4 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0329f808190b158c9bf68d4fd35 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:41 p.m.