Triple

T16520279
Position Surface form Disambiguated ID Type / Status
Subject Comune di Trapani E401298 entity
Predicate administers P123 FINISHED
Object city of 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: city of Trapani | Statement: [Comune di Trapani, administers, city of Trapani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Trapani
Context triple: [Comune di Trapani, administers, city of 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. city of Enna
    The city of Enna is a historic hilltop town in central Sicily, Italy, renowned for its elevated position, panoramic views, and rich ancient and medieval heritage.
  • C. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • D. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • E. Messina
    Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7f8a1481909fe6b3c16a72059b completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2590d48190b72b7d5be20c14c7 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:14 a.m.