Triple

T17224443
Position Surface form Disambiguated ID Type / Status
Subject Mount Erice E418075 entity
Predicate overlooks P1323 FINISHED
Object city of Trapani NE NERFINISHED

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: [Mount Erice, overlooks, city of Trapani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Trapani
Context triple: [Mount Erice, overlooks, 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 (2 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.