Triple

T12957451
Position Surface form Disambiguated ID Type / Status
Subject Kolibki Park E310052 entity
Predicate near P350 FINISHED
Object Gdynia Orłowo seaside area E189434 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: Gdynia Orłowo seaside area | Statement: [Kolibki Park, near, Gdynia Orłowo seaside area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdynia Orłowo seaside area
Context triple: [Kolibki Park, near, Gdynia Orłowo seaside area]
  • A. Gdynia Orłowo Beach chosen
    Gdynia Orłowo Beach is a scenic sandy shoreline in the Orłowo district of Gdynia, Poland, known for its wooden pier, dramatic cliff views, and picturesque setting on the Baltic coast.
  • B. Gryfice
    Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
  • C. Kamień Pomorski
    Kamień Pomorski is a historic town in north-western Poland known for its medieval architecture, spa traditions, and location near the Baltic Sea.
  • D. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • E. Bałtyk Gdynia
    Bałtyk Gdynia is a Polish football club from the city of Gdynia, historically known for its local derbies and fluctuating presence in the national league system.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:44 p.m.