Triple
T18597704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | politiken.dk |
E454534
|
entity |
| Predicate | websiteTitle |
P22461
|
FINISHED |
| Object | Politiken |
—
|
NE NERFINISHED |
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: Politiken | Statement: [politiken.dk, websiteTitle, Politiken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Politiken Context triple: [politiken.dk, websiteTitle, Politiken]
-
A.
Politiken
chosen
Politiken is a leading Danish daily newspaper known for its national and international news coverage, cultural reporting, and liberal editorial stance.
-
B.
Politikens Forlag
Politikens Forlag is a major Danish publishing house known for releasing a wide range of fiction and non-fiction by prominent Scandinavian and international authors.
-
C.
politiken.dk
politiken.dk is the online edition of the Danish daily newspaper Politiken, providing national and international news, opinion, and cultural coverage.
-
D.
Berlingske
Berlingske is one of Denmark’s oldest and most prominent daily newspapers, known for its national news coverage and influential role in Danish media.
-
E.
Jyllands-Posten
Jyllands-Posten is a major Danish daily newspaper known internationally for its influential political coverage and for sparking global debate over freedom of expression.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:44 a.m.