Triple
T20779343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Societas Rosicruciana in Anglia |
E511437
|
entity |
| Predicate | secondOrderGrades |
P141514
|
FINISHED |
| Object | V–VII grades |
—
|
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: V–VII grades | Statement: [Societas Rosicruciana in Anglia, secondOrderGrades, V–VII grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondOrderGrades Context triple: [Societas Rosicruciana in Anglia, secondOrderGrades, V–VII grades]
-
A.
secondaryStages
Indicates that one or more stages occur as subsequent or follow-up phases relative to an initial or primary stage in a process or sequence.
-
B.
secondRank
Indicates that one entity holds the second position or rank in order or hierarchy relative to others.
-
C.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
D.
secondPeriodName
Indicates the name or label assigned to the second period in an ordered sequence of time intervals or stages.
-
E.
secondaryTo
Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26ed1a08190bb73824672328d98 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.