Triple

T6318647
Position Surface form Disambiguated ID Type / Status
Subject Métropole Nice Côte d’Azur E141678 entity
Predicate includesMunicipality P14658 FINISHED
Object Isola E408698 NE 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: Isola | Statement: [Métropole Nice Côte d’Azur, includesMunicipality, Isola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isola
Context triple: [Métropole Nice Côte d’Azur, includesMunicipality, Isola]
  • A. Isola chosen
    Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
  • B. Isla
    Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
  • C. Isola Madre
    Isola Madre is the largest of the Borromean Islands on Lake Maggiore in northern Italy, renowned for its historic villa and extensive botanical gardens.
  • D. Ilha
    Ilha is a locality or geographic feature whose name appears within the toponym "Ilha do Zeca" in the Cidade Universitária area.
  • E. Isla de los Estados
    Isla de los Estados is a remote, rugged Argentine island in the South Atlantic Ocean, known for its harsh climate, dramatic coastal landscapes, and role as a historic maritime navigation point near the tip of South America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c38fe48190a71a4e5e1af19b10 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6537fc2ac8190a05779363ed2b3eb completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:29 p.m.