Triple

T15023221
Position Surface form Disambiguated ID Type / Status
Subject Sopot railway station E378137 entity
Predicate adjacentTo P224 FINISHED
Object Sopot city centre E77811 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: Sopot city centre | Statement: [Sopot railway station, adjacentTo, Sopot city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sopot city centre
Context triple: [Sopot railway station, adjacentTo, Sopot city centre]
  • A. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • B. Sopot chosen
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • C. Old Town, Poznań
    Old Town, Poznań is the historic central district of the Polish city of Poznań, known for its medieval urban layout, colorful townhouses, and landmark Renaissance town hall.
  • D. Gdynia city centre waterfront
    Gdynia city centre waterfront is a prominent seaside district in Gdynia, Poland, known for its promenades, marinas, museums, and tourist attractions along the Baltic coast.
  • E. Sopot City Hall
    Sopot City Hall is the main municipal government building of the seaside city of Sopot, Poland, housing its administrative offices and local authorities.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8754ef408190be0e4ea5c35cf000 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 2:56 a.m.