Triple
T25075425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Venus Belt |
E628032
|
entity |
| Predicate | hasAuthorPoliticalViewInfluence |
P71332
|
FINISHED |
| Object | libertarianism |
—
|
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: libertarianism | Statement: [The Venus Belt, hasAuthorPoliticalViewInfluence, libertarianism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorPoliticalViewInfluence Context triple: [The Venus Belt, hasAuthorPoliticalViewInfluence, libertarianism]
-
A.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
B.
hasAuthorPoliticalActivity
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
-
C.
politicalInfluenceStatus
Indicates the degree or state of one entity’s ability to affect or shape another entity’s political decisions, actions, or outcomes.
-
D.
hasAuthorPoliticalPosition
chosen
Indicates that an author holds or is associated with a specific political position or stance.
-
E.
politicalInfluenceIn
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:21 a.m.