Triple

T15000457
Position Surface form Disambiguated ID Type / Status
Subject South Pier in Gdynia E374072 entity
Predicate partOf P40 FINISHED
Object Gdynia waterfront E12134 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 waterfront | Statement: [South Pier in Gdynia, partOf, Gdynia waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdynia waterfront
Context triple: [South Pier in Gdynia, partOf, Gdynia waterfront]
  • A. Danzig harbor
    Danzig harbor was the port area of the Free City of Danzig (now Gdańsk, Poland) that played a pivotal role at the outbreak of World War II, notably as the site of the German attack on Westerplatte.
  • B. Port of Gdańsk
    The Port of Gdańsk is one of Poland’s largest and most important seaports on the Baltic Sea, serving as a major hub for international trade and maritime transport.
  • C. Port of Elbląg
    The Port of Elbląg is a regional seaport and transport hub on the Elbląg River near the Vistula Lagoon, serving cargo, passenger, and recreational traffic in northern Poland.
  • D. Port of Gdynia
    The Port of Gdynia is a major seaport on Poland’s Baltic coast, serving as a key hub for maritime trade, passenger traffic, and naval activity.
  • E. Gdynia chosen
    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.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded72fec948190b1c9705538c57976 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969e2d888190afbb9c8fd8a707c8 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.