Triple

T23057829
Position Surface form Disambiguated ID Type / Status
Subject Lavsa E574207 entity
Predicate locatedIn P40 FINISHED
Object Croatian Adriatic 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: Croatian Adriatic | Statement: [Lavsa, locatedIn, Croatian Adriatic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatian Adriatic
Context triple: [Lavsa, locatedIn, Croatian Adriatic]
  • A. Croatian Littoral
    The Croatian Littoral is a coastal region of Croatia along the northern Adriatic Sea, encompassing historic port cities, islands, and seaside resorts between Istria and Dalmatia.
  • B. Adriatic Croatia chosen
    Adriatic Croatia is a NUTS 2 statistical region of Croatia that encompasses the country’s coastal areas along the Adriatic Sea, including numerous islands and historic port cities.
  • C. Adria
    Adria is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • D. Dubrovnik littoral
    Dubrovnik littoral is a coastal region in southern Croatia centered around the historic city of Dubrovnik, known for its scenic Adriatic shoreline and cultural heritage.
  • E. Montenegrin Littoral
    The Montenegrin Littoral is the coastal region of Montenegro along the Adriatic Sea, known for its historic towns, Mediterranean climate, and popular tourist resorts.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18681bec48190a8226b3d89d19b9f completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.