Triple

T3645582
Position Surface form Disambiguated ID Type / Status
Subject Ragusa E77291 entity
Predicate near P350 FINISHED
Object Modica E161002 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: Modica | Statement: [Ragusa, near, Modica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modica
Context triple: [Ragusa, near, Modica]
  • A. Modica chosen
    Modica is a historic city in southeastern Sicily renowned for its rich Baroque architecture and cultural heritage.
  • B. 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.
  • C. Caltagirone
    Caltagirone is a historic town in Sicily renowned for its rich Baroque architecture and traditional ceramic craftsmanship.
  • D. Palazzolo Acreide
    Palazzolo Acreide is a historic town in southeastern Sicily renowned for its well-preserved Sicilian Baroque architecture and ancient Greek archaeological sites.
  • E. Catania
    Catania is a historic port city on the eastern coast of Sicily, Italy, known for its Baroque architecture and proximity to Mount Etna.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f35985081909a499f9c1668b589 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.