Triple

T19310483
Position Surface form Disambiguated ID Type / Status
Subject Herceg Novi Bay E482951 entity
Predicate namedAfter P63 FINISHED
Object Herceg Novi NE NERFINISHED

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: Herceg Novi | Statement: [Herceg Novi Bay, namedAfter, Herceg Novi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herceg Novi
Context triple: [Herceg Novi Bay, namedAfter, Herceg Novi]
  • A. Herceg Novi chosen
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • B. Budva
    Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
  • C. Biševo
    Biševo is a small Croatian island in the Adriatic Sea, best known for its Blue Cave (Modra špilja), a popular tourist attraction near the island of Vis.
  • D. Makarska
    Makarska is a coastal town and popular tourist resort on the Adriatic Sea in southern Croatia, known for its beaches and the nearby Biokovo mountain range.
  • E. Supetar
    Supetar is the main port and largest town on the Croatian island of Brač, known for its Adriatic seaside setting and role as a local tourism and transport hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cd270c819094fd2faa0681d2ad completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.