Triple

T3679664
Position Surface form Disambiguated ID Type / Status
Subject Rovinj E78079 entity
Predicate hasItalianName P17612 FINISHED
Object Rovigno E78079 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: Rovigno | Statement: [Rovinj, hasItalianName, Rovigno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovigno
Context triple: [Rovinj, hasItalianName, Rovigno]
  • A. Rovinj chosen
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • B. Mendrisio
    Mendrisio is a district and town in the canton of Ticino in southern Switzerland, known for its historic center and proximity to the Italian border.
  • C. Pirano
    Pirano is a historic coastal town on the Adriatic Sea in southwestern Slovenia, renowned for its Venetian Gothic architecture and picturesque old town.
  • D. Stresa
    Stresa is a picturesque resort town on the shores of Lake Maggiore in northern Italy, known for its elegant lakeside promenades, historic villas, and views of the Borromean Islands.
  • E. Riva del Garda
    Riva del Garda is a picturesque resort town on the northern shore of Lake Garda in northern Italy, known for its historic center, lakeside promenades, and surrounding mountain scenery.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49039308190b33082e2b58aa5cf completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fafdfe108190a808364578d5edd1 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:25 p.m.