Triple

T18424181
Position Surface form Disambiguated ID Type / Status
Subject Pag E442094 entity
Predicate hasTown P847 FINISHED
Object Novalja 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: Novalja | Statement: [Pag, hasTown, Novalja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novalja
Context triple: [Pag, hasTown, Novalja]
  • A. Novalja chosen
    Novalja is a coastal town on the Croatian island of Pag, known as a popular summer tourist destination with nearby Zrće Beach famous for its nightlife and music festivals.
  • B. Grožnjan
    Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
  • C. Lovran
    Lovran is a historic coastal town on Croatia’s Adriatic Riviera, known for its Austro-Hungarian era villas, mild climate, and role as an early seaside resort.
  • D. Stara Novalja
    Stara Novalja is a small coastal village and tourist resort on the Croatian island of Pag, known for its sheltered bay and beaches.
  • E. Dubrovno
    Dubrovno is a small town in eastern Belarus, historically part of the Russian Empire and home to a significant Jewish community in the 19th and early 20th centuries.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51b1149788190ad7c453547a6e07c completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 10:47 a.m.