Triple
T38049596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qisha Canon |
E949715
|
entity |
| Predicate | hasScholarlyUseAs |
P6966
|
FINISHED |
| Object | reference text for establishing reliable readings |
—
|
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: reference text for establishing reliable readings | Statement: [Qisha Canon, hasScholarlyUseAs, reference text for establishing reliable readings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarlyUseAs Context triple: [Qisha Canon, hasScholarlyUseAs, reference text for establishing reliable readings]
-
A.
scholarlyUse
chosen
Indicates that something is used for academic, educational, or research-related purposes.
-
B.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
C.
hasScholarlyReception
Indicates that a work has been the subject of scholarly analysis, discussion, or evaluation in academic or research contexts.
-
D.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
E.
scholarlyActivity
Indicates engagement in academic or research-related work, such as studying, teaching, publishing, or conducting scholarly inquiry.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:20 p.m.