Triple

T21514167
Position Surface form Disambiguated ID Type / Status
Subject Mierzeja Wiślana E530800 entity
Predicate hasPort P35 FINISHED
Object Krynica Morska marina 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: Krynica Morska marina | Statement: [Mierzeja Wiślana, hasPort, Krynica Morska marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krynica Morska marina
Context triple: [Mierzeja Wiślana, hasPort, Krynica Morska marina]
  • A. Gdynia Marina
    Gdynia Marina is a modern yacht harbor and waterfront leisure area in the Polish coastal city of Gdynia, serving as a hub for sailing, tourism, and maritime events.
  • B. Jastarnia harbour
    Jastarnia harbour is a small Baltic Sea port and marina on Poland’s Hel Peninsula, serving local fishing, tourism, and recreational boating.
  • C. Naval Base Świnoujście
    Naval Base Świnoujście is a major Polish naval installation on the Baltic Sea, serving as a key hub for maritime defense and fleet operations.
  • D. Krynica Morska chosen
    Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
  • E. Gdynia marina
    Gdynia marina is a modern yacht harbor and waterfront leisure area in the Polish port city of Gdynia, serving as a hub for sailing, tourism, and maritime events.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.