Triple

T11308886
Position Surface form Disambiguated ID Type / Status
Subject Province of Trapani E267786 entity
Predicate contains P35 FINISHED
Object Erice E401297 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: Erice | Statement: [Province of Trapani, contains, Erice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erice
Context triple: [Province of Trapani, contains, Erice]
  • A. Erice chosen
    Erice is a historic hilltop town in western Sicily, Italy, renowned for its medieval architecture, ancient origins, and panoramic views over the surrounding coast.
  • B. Messina
    Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
  • C. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • D. Cefalù
    Cefalù is a historic seaside town on the northern coast of Sicily, Italy, renowned for its medieval streets, sandy beaches, and UNESCO-listed Norman cathedral.
  • E. Taormina
    Taormina is a historic hilltop town on Sicily’s eastern coast, famed for its ancient Greek theatre, dramatic views of Mount Etna, and picturesque Mediterranean 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603bbb84c81908a29fcef32d3cf31 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:32 p.m.