Triple

T4639644
Position Surface form Disambiguated ID Type / Status
Subject Green Gate E101619 entity
Predicate hasView P854 FINISHED
Object Gdańsk Marina E456475 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: Gdańsk Marina | Statement: [Green Gate, hasView, Gdańsk Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdańsk Marina
Context triple: [Green Gate, hasView, Gdańsk Marina]
  • 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. 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. Port of Gdańsk chosen
    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.
  • D. Port of Świnoujście
    The Port of Świnoujście is a key Baltic Sea seaport and ferry terminal in northwestern Poland, serving both commercial shipping and passenger traffic.
  • E. 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.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be103799108190a905c28cdf302aba completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:13 p.m.