Triple
T28697477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Travellers |
E729454
|
entity |
| Predicate | subjectOfPolicy |
P152722
|
FINISHED |
| Object | assimilation policies in Norway |
—
|
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: assimilation policies in Norway | Statement: [Norwegian Travellers, subjectOfPolicy, assimilation policies in Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfPolicy Context triple: [Norwegian Travellers, subjectOfPolicy, assimilation policies in Norway]
-
A.
subjectOfRule
chosen
Indicates that an entity is governed, constrained, or described by a particular rule.
-
B.
subjectOfClaim
Indicates that an entity is the topic, target, or focus of a particular claim or assertion made by another entity.
-
C.
partOfPolicy
Indicates that one entity is a component, section, or element belonging to or contained within a broader policy.
-
D.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
E.
subtitlePolicy
Indicates a policy or rule governing how subtitles are handled, such as their presence, format, language, or display conditions.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 28, 2026, 5:40 a.m.