Triple

T2916977
Position Surface form Disambiguated ID Type / Status
Subject Orłowo E78629 entity
Predicate hasLandmark P105 FINISHED
Object Orłowo fishing pier E189434 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: Orłowo fishing pier | Statement: [Orłowo, hasLandmark, Orłowo fishing pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orłowo fishing pier
Context triple: [Orłowo, hasLandmark, Orłowo fishing pier]
  • A. Gdynia Orłowo Beach chosen
    Gdynia Orłowo Beach is a scenic sandy shoreline in the Orłowo district of Gdynia, Poland, known for its wooden pier, dramatic cliff views, and picturesque setting on the Baltic coast.
  • B. Biała Piska
    Biała Piska is a small town in northeastern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
  • C. Gdynia Aquarium
    Gdynia Aquarium is a popular marine education and exhibition center in the Polish port city of Gdynia, showcasing a wide variety of aquatic species and ecosystems.
  • D. Starnberg pier
    Starnberg pier is a lakeside promenade and docking point on Lake Starnberg in Bavaria, Germany, known for its scenic views and boat connections.
  • E. Port of Władysławowo
    The Port of Władysławowo is a Polish Baltic Sea harbor known primarily as a fishing and tourist port serving the coastal town of Władysławowo.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a2bdd88190aa01c26a27f9afbd completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562847488190a0d6b7de99796cd9 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:53 p.m.