Triple
T21170709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion correlation theory |
E521682
|
entity |
| Predicate | positionInScholarship |
P143148
|
FINISHED |
| Object | rejected by the academic consensus |
—
|
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: rejected by the academic consensus | Statement: [Orion correlation theory, positionInScholarship, rejected by the academic consensus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInScholarship Context triple: [Orion correlation theory, positionInScholarship, rejected by the academic consensus]
-
A.
positionOnEducation
Indicates a stance, opinion, or policy view that an entity holds regarding education-related issues.
-
B.
locationOfScholarship
Indicates the place or institution where a particular scholarship is offered, held, or administered.
-
C.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
D.
scholarshipEquivalency
Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
-
E.
statusInKantScholarship
Indicates the scholarly position, role, or standing that something or someone holds within the body of academic work on Kant.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3 p.m.