Triple
T25233944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sye |
E632287
|
entity |
| Predicate | featuresStudentPolitics |
P171383
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sye, featuresStudentPolitics, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStudentPolitics Context triple: [Sye, featuresStudentPolitics, yes]
-
A.
featuresReversedPoliticsFrom
Indicates that one entity presents or embodies political views or alignments that are the opposite or inverse of those associated with another entity.
-
B.
studiesPoliticsOf
Indicates that one entity examines, researches, or learns about the political systems, processes, or issues related to another entity.
-
C.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
D.
politicalFunction
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
E.
ledPoliticalProgram
Indicates that an entity was in charge of organizing, directing, or overseeing a specific political program or initiative.
- F. None of above. chosen
Provenance (4 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 21, 2026, 1:06 p.m.