Triple
T19845928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European–Asian boundary region |
E476858
|
entity |
| Predicate | hasNoUniversalLegalDefinition |
P64910
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [European–Asian boundary region, hasNoUniversalLegalDefinition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoUniversalLegalDefinition Context triple: [European–Asian boundary region, hasNoUniversalLegalDefinition, true]
-
A.
hasNoStatutoryDefinition
chosen
Indicates that there is no formal definition of the concept or term provided in statute or legislation.
-
B.
hasLegalDefinitionIn
Indicates that something possesses an official legal definition within a specified legal source, system, or jurisdiction.
-
C.
hasNoLegalStatus
Indicates that the referenced entity lacks any formally recognized legal standing, rights, or status under the applicable legal system.
-
D.
hasLegalRelevanceIn
Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
-
E.
hasNoLegalAuthority
Indicates that an entity lacks the official power, right, or authorization to perform a specified action or make binding decisions in a given context.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658091c608190b4eb9bcedd88e147 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.