Triple

T2454729
Position Surface form Disambiguated ID Type / Status
Subject Catania–Fontanarossa Airport E54392 entity
Predicate serves P98 FINISHED
Object city of Catania E82307 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: city of Catania | Statement: [Catania–Fontanarossa Airport, serves, city of Catania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Catania
Context triple: [Catania–Fontanarossa Airport, serves, city of Catania]
  • A. Catania chosen
    Catania is a historic port city on the eastern coast of Sicily, Italy, known for its Baroque architecture and proximity to Mount Etna.
  • B. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • C. Reggio Calabria
    Reggio Calabria is a historic coastal city in the Calabria region, known as the largest urban center at the tip of Italy’s “boot” facing Sicily across the Strait of Messina.
  • D. Palermo
    Palermo is a large, upscale neighborhood in Buenos Aires known for its parks, nightlife, cultural attractions, and trendy dining and shopping areas.
  • E. Palermo
    Palermo is the historic capital of Sicily, renowned for its rich multicultural heritage, including a significant medieval Jewish presence, and its blend of Arab-Norman architecture, vibrant markets, and coastal setting.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd0f7f85c8190a60970b6adb7fe80 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c7c90c8190ba5ed3cece5e049f completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.