Triple
T8700673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgio Perlasca |
E206521
|
entity |
| Predicate | usedLegalProtection |
P18742
|
FINISHED |
| Object | Spanish protective passports |
—
|
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: Spanish protective passports | Statement: [Giorgio Perlasca, usedLegalProtection, Spanish protective passports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedLegalProtection Context triple: [Giorgio Perlasca, usedLegalProtection, Spanish protective passports]
-
A.
usesLegalCode
Indicates that one entity applies, references, or operates under a particular legal code in its actions or regulations.
-
B.
usedLegalInstrument
chosen
Indicates that one party employed or relied upon a specific legal instrument (such as a contract, statute, or court order) in the context of an action or relationship with another party.
-
C.
legalLicenseIn
Indicates that an entity holds a valid legal license or authorization to operate, practice, or conduct a specified activity within a particular jurisdiction or region.
-
D.
legalTermUsedFrom
Indicates that a particular legal term has been in official or recognized use starting from a specified point in time.
-
E.
legalContent
Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b27bd48190a5f76111ee657553 |
completed | March 31, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.