Triple

T2515571
Position Surface form Disambiguated ID Type / Status
Subject Trapani–Birgi Airport E55404 entity
Predicate serves P98 FINISHED
Object Trapani E85813 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: Trapani | Statement: [Trapani–Birgi Airport, serves, Trapani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trapani
Context triple: [Trapani–Birgi Airport, serves, Trapani]
  • A. Trapani chosen
    Trapani is a coastal city in western Sicily, Italy, known for its historic port, salt pans, and proximity to the Egadi Islands.
  • B. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • C. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • D. 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.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20db7e0819096d901eb20ae65e5 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20321518c8190a221620074f3428b completed March 12, 2026, 12:04 a.m.
Created at: March 6, 2026, 9:46 p.m.