Triple

T13182635
Position Surface form Disambiguated ID Type / Status
Subject Istria County E313766 entity
Predicate containsSettlement P847 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: [Istria County, containsSettlement, Vodnjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vodnjan
Context triple: [Istria County, containsSettlement, 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7edb40819095dfa45d3c61a0e3 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:15 p.m.