Triple

T18080763
Position Surface form Disambiguated ID Type / Status
Subject Novalja E432681 entity
Predicate hasPort P35 FINISHED
Object Novalja port 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 port | Statement: [Novalja, hasPort, Novalja port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novalja port
Context triple: [Novalja, hasPort, Novalja port]
  • 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. Sasa Port
    Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
  • C. Kraljevica port
    Kraljevica port is a coastal harbor in the town of Kraljevica, Croatia, serving local maritime traffic and tourism on the Adriatic Sea.
  • D. Novy Port
    Novy Port is a remote Arctic settlement and key Russian seaport on the coast of the Ob Bay, serving as an important hub for regional shipping and resource export.
  • E. Port of Ustka
    The Port of Ustka is a small seaport on Poland’s Baltic Sea coast, serving primarily fishing, local maritime traffic, and tourism.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.