Triple
T38281209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon Medicinae |
E1022083
|
entity |
| Predicate | wasStandardTextUntil |
P190601
|
FINISHED |
| Object | 17th century in Europe |
—
|
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: 17th century in Europe | Statement: [Canon Medicinae, wasStandardTextUntil, 17th century in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasStandardTextUntil Context triple: [Canon Medicinae, wasStandardTextUntil, 17th century in Europe]
-
A.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
B.
wasGraduallyStandardizedIn
Indicates that something became standardized or uniform within a particular context through a gradual, step-by-step process over time.
-
C.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
D.
firstStandardized
Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
-
E.
usesStandard
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.