Triple

T11725539
Position Surface form Disambiguated ID Type / Status
Subject Western Sicily E278756 entity
Predicate includesCity P3207 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: [Western Sicily, includesCity, Trapani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trapani
Context triple: [Western Sicily, includesCity, 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. Messina
    Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
  • D. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • E. 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.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d70d908190b5f47c2ef501a191 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74602a7ec8190980e5e6a80aa1235 completed May 3, 2026, 12:56 p.m.
Created at: April 8, 2026, 9:41 p.m.