Triple
T20007602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Sexta |
E494497
|
entity |
| Predicate | politicalOrientationReputation |
P15842
|
FINISHED |
| Object | centre-left (perceived) |
—
|
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: centre-left (perceived) | Statement: [La Sexta, politicalOrientationReputation, centre-left (perceived)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalOrientationReputation Context triple: [La Sexta, politicalOrientationReputation, centre-left (perceived)]
-
A.
nationalReputation
Indicates the recognized standing or esteem an entity holds at the level of an entire nation.
-
B.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
C.
modernReputation
Indicates the reputation or standing an entity holds in contemporary or present-day contexts.
-
D.
legitimacyPerception
Indicates how legitimate or appropriate an entity, action, or authority is perceived to be by relevant observers or stakeholders.
-
E.
regionalReputation
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.