Triple
T24197592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Journal du Dimanche |
E599876
|
entity |
| Predicate | politicalCoverage |
P80097
|
FINISHED |
| Object | French government |
—
|
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: French government | Statement: [Le Journal du Dimanche, politicalCoverage, French government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalCoverage Context triple: [Le Journal du Dimanche, politicalCoverage, French government]
-
A.
politicalSpectrumCoverage
Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
-
B.
hasPoliticalCoverage
chosen
Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
-
C.
politicalCurrent
Indicates that an entity is presently holding or engaged in a specific political role, status, or activity at the current time.
-
D.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
-
E.
viewOnPolitics
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding political matters in relation to another entity or 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24c103481908ea49dd8e77dee32 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.