Triple

T11309087
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Catania E267790 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Scordia E910774 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: Scordia | Statement: [Metropolitan City of Catania, containsAdministrativeTerritorialEntity, Scordia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scordia
Context triple: [Metropolitan City of Catania, containsAdministrativeTerritorialEntity, Scordia]
  • A. Scordia chosen
    Scordia is a town and comune in eastern Sicily, Italy, known for its agricultural production, particularly citrus fruits.
  • B. Guerrara
    Guerrara is a town in Algeria’s M’zab region, known for its traditional Mozabite architecture and oasis-based desert lifestyle.
  • C. Lucciana
    Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • D. Caldonia
    "Caldonia" is a 1945 jump blues song by Louis Jordan, celebrated as one of his signature hits and a classic of early rhythm and blues.
  • E. Lyria
    Lyria is a high-speed international train service brand connecting France and Switzerland, operated in partnership with SNCF Voyageurs.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.