Triple

T26410913
Position Surface form Disambiguated ID Type / Status
Subject Lampedusa E663956 entity
Predicate otherIslandsInArchipelago P27557 FINISHED
Object Linosa NE NERFINISHED

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: Linosa | Statement: [Lampedusa, otherIslandsInArchipelago, Linosa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: otherIslandsInArchipelago
Context triple: [Lampedusa, otherIslandsInArchipelago, Linosa]
  • A. locatedInArchipelago
    Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
  • B. archipelagoType
    Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
  • C. associatedIsland chosen
    Indicates that one entity is related to or connected with a particular island in some relevant way.
  • D. islandOf
    Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
  • E. nearestPopulatedIsland
    Indicates that one island is the closest populated island to another specified location or island.
  • 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 26, 2026, 11:38 p.m.