Triple

T6494829
Position Surface form Disambiguated ID Type / Status
Subject Central Mediterranean E148129 entity
Predicate routeFor P50844 FINISHED
Object migration from North Africa to 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: migration from North Africa to Europe | Statement: [Central Mediterranean, routeFor, migration from North Africa to Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: routeFor
Context triple: [Central Mediterranean, routeFor, migration from North Africa to Europe]
  • A. route
    Indicates that one entity serves as a path or course used to travel or move between locations associated with another entity.
  • B. routeVia
    Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
  • C. routesFrom
    Indicates that something (such as a path, connection, or communication) originates at one entity and is directed or carried from that source entity toward another.
  • D. routeSetting
    Indicates that one entity configures or defines the path or course to be followed by another entity (such as a vehicle, signal, or data flow).
  • E. formsKeyRouteTo chosen
    Indicates that something serves as a primary or essential pathway or connection leading to another thing.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69c06740bebc81909d9d6956baa2bcb9 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:53 p.m.