Triple

T15705582
Position Surface form Disambiguated ID Type / Status
Subject Golden Cape Forest Park E380699 entity
Predicate isPartOf P10 FINISHED
Object Rovinj tourist area 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: Rovinj tourist area | Statement: [Golden Cape Forest Park, isPartOf, Rovinj tourist area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovinj tourist area
Context triple: [Golden Cape Forest Park, isPartOf, Rovinj tourist area]
  • 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. 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.
  • C. Grožnjan
    Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
  • D. Trogir
    Trogir is a historic coastal town in Croatia renowned for its well-preserved medieval architecture and UNESCO-listed old town on the Adriatic Sea.
  • E. Rovinj harbor
    Rovinj harbor is a picturesque coastal inlet in the Croatian town of Rovinj, known for its colorful waterfront, fishing boats, and views of the historic old town.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6fc3608190a85b25755f5345db completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79031f88190bf129582deeed3b9 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:45 a.m.