Triple

T15027614
Position Surface form Disambiguated ID Type / Status
Subject Wolin National Park E378257 entity
Predicate hasCityNearby P3883 FINISHED
Object Świnoujście 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: Świnoujście | Statement: [Wolin National Park, hasCityNearby, Świnoujście]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Świnoujście
Context triple: [Wolin National Park, hasCityNearby, Świnoujście]
  • A. Świnoujście chosen
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • B. Świnica
    Świnica is a prominent peak in the High Tatras on the Polish–Slovak border, popular with hikers for its rugged ridges and panoramic alpine views.
  • C. Śniardwy
    Śniardwy is the largest lake in Poland, located in the Masurian Lake District of northeastern Poland.
  • D. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
Created at: April 10, 2026, 2:58 a.m.