Triple

T15698034
Position Surface form Disambiguated ID Type / Status
Subject Działki Leśne E380514 entity
Predicate borderWith P224 FINISHED
Object Śródmieście (Gdynia) E1132090 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: Śródmieście (Gdynia) | Statement: [Działki Leśne, borderWith, Śródmieście (Gdynia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Śródmieście (Gdynia)
Context triple: [Działki Leśne, borderWith, Śródmieście (Gdynia)]
  • A. Śródmieście (central district of Gdynia) chosen
    Śródmieście is the central district of Gdynia, Poland, encompassing the city’s main commercial, cultural, and administrative areas along the waterfront.
  • B. Śródmieście, Gdańsk
    Śródmieście, Gdańsk is the historic central district of Gdańsk, Poland, encompassing the city’s Old Town, main tourist attractions, and key cultural landmarks.
  • C. Gdynia Śródmieście SKM station
    Gdynia Śródmieście SKM station is a central urban rapid rail stop in Gdynia, Poland, serving as a key commuter hub near the city’s main waterfront and downtown attractions.
  • D. Śródmieście
    Śródmieście is the central downtown district of the Polish port city of Gdynia, known for its urban core, services, and seaside location.
  • E. Śródmieście
    Śródmieście is the central urban district of the city of Gliwice in southern Poland, encompassing its historic core and main commercial areas.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ee580c819082ad53db6da91f66 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:44 a.m.