Triple

T3696706
Position Surface form Disambiguated ID Type / Status
Subject Śródmieście (Gdynia) E78475 entity
Predicate contains P35 FINISHED
Object 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.
E380510 NE FINISHED

How this triple was built (4 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 marina | Statement: [Śródmieście (Gdynia), contains, Gdynia marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gdynia marina
Context triple: [Śródmieście (Gdynia), contains, Gdynia marina]
  • A. Bałtyk Gdynia
    Bałtyk Gdynia is a Polish football club from the city of Gdynia, historically known for its local derbies and fluctuating presence in the national league system.
  • B. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • C. Morskie Oko
    Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
  • D. Zalewo
    Zalewo is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship known for its lakes and natural landscapes.
  • E. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gdynia marina
Triple: [Śródmieście (Gdynia), contains, Gdynia marina]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gdynia marina
Target entity description: 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.
  • A. Bałtyk Gdynia
    Bałtyk Gdynia is a Polish football club from the city of Gdynia, historically known for its local derbies and fluctuating presence in the national league system.
  • B. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • C. Morskie Oko
    Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
  • D. Zalewo
    Zalewo is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship known for its lakes and natural landscapes.
  • E. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • F. None of above. chosen

Provenance (5 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d4821081909ccd1b5789eb761e completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c512ea388190839fdcb3711f41a0 completed March 14, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69b4c5b4b5848190b799599b8d0a315a completed March 14, 2026, 2:19 a.m.
Created at: March 8, 2026, 3:26 p.m.