Triple
T15512084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Conspiración |
E368734
|
entity |
| Predicate | hasAuthorPoliticalEngagement |
P33060
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [La Conspiración, hasAuthorPoliticalEngagement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorPoliticalEngagement Context triple: [La Conspiración, hasAuthorPoliticalEngagement, true]
-
A.
hasAuthorPoliticalActivity
chosen
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
-
B.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
C.
hasAuthorPoliticalPosition
Indicates that an author holds or is associated with a specific political position or stance.
-
D.
hasAuthorPoliticalParty
Indicates that a political party is the one to which the author of a work or document belongs or is affiliated.
-
E.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:56 a.m.