Triple
T23171833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biomedical District of Mirandola |
E578879
|
entity |
| Predicate | hasTypicalStandard |
P1587
|
FINISHED |
| Object | ISO 13485 compliance |
—
|
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: ISO 13485 compliance | Statement: [Biomedical District of Mirandola, hasTypicalStandard, ISO 13485 compliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalStandard Context triple: [Biomedical District of Mirandola, hasTypicalStandard, ISO 13485 compliance]
-
A.
usesStandard
chosen
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
B.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
C.
isStandardOn
Indicates that a particular feature, option, or component is included by default as part of another item, rather than being optional or extra.
-
D.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
E.
hasTypicalAppearance
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f3007108190bc3c831f81ae1dce |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.