Triple

T13223919
Position Surface form Disambiguated ID Type / Status
Subject Istriot E314824 entity
Predicate spokenInTown P35263 FINISHED
Object Vodnjan E544361 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: Vodnjan | Statement: [Istriot, spokenInTown, Vodnjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vodnjan
Context triple: [Istriot, spokenInTown, Vodnjan]
  • A. Vodnjan chosen
    Vodnjan is a historic town in southwestern Croatia’s Istria region, known for its multicultural heritage, medieval architecture, and preservation of local Romance dialects.
  • B. Gospić
    Gospić is a town in the Lika region of Croatia, known as the administrative center of Lika-Senj County and for its association with the birthplace of inventor Nikola Tesla in nearby Smiljan.
  • C. Poreč
    Poreč is a historic coastal town and popular tourist resort on Croatia’s Istrian Peninsula, known for its well-preserved Roman layout and the UNESCO-listed Euphrasian Basilica.
  • D. Rovinj
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • E. Šibenik
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9a5e388190ab75b9f476216894 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:19 p.m.