Triple
T33287509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribune Publications Ltd |
E852218
|
entity |
| Predicate | politicalAlignmentOfPublications |
P174795
|
FINISHED |
| Object | left-wing |
—
|
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: left-wing | Statement: [Tribune Publications Ltd, politicalAlignmentOfPublications, left-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentOfPublications Context triple: [Tribune Publications Ltd, politicalAlignmentOfPublications, left-wing]
-
A.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
B.
newspaperPoliticalAlignment
chosen
Indicates the political stance or ideological leaning that a newspaper is associated with or expresses in its content.
-
C.
associatedPoliticalWriting
Indicates that there exists a political text or writing that is linked or connected to the given entity.
-
D.
mediaStance
Indicates the position, attitude, or bias that a media source expresses toward a subject, event, or entity.
-
E.
politicalSpectrumCoverage
Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:32 a.m.