Triple
T18118564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DMG Media |
E433672
|
entity |
| Predicate | publisherOf |
P1760
|
FINISHED |
| Object | i newspaper |
—
|
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: i newspaper | Statement: [DMG Media, publisherOf, i newspaper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: i newspaper Context triple: [DMG Media, publisherOf, i newspaper]
-
A.
i (newspaper)
chosen
i is a British national daily newspaper known for its concise, digest-style news coverage and compact format.
-
B.
National Post
The National Post is a Canadian English-language daily newspaper known for its national coverage and generally conservative editorial stance.
-
C.
Vakit newspaper
Vakit newspaper was a Turkish periodical known for publishing notable literary works and contributing to early 20th-century Turkish press and culture.
-
D.
Cotidianul newspaper
Cotidianul newspaper is a Romanian daily publication known for its independent, often critical journalism and cultural commentary.
-
E.
The Daily News
The Daily News was a prominent London-based British newspaper known for its liberal stance and influential journalism in the 19th and early 20th centuries.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd843e88190abbc173dbc9b450a |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.