Triple

T5522664
Position Surface form Disambiguated ID Type / Status
Subject Lake Łebsko E144847 entity
Predicate near P350 FINISHED
Object Smołdzino
Smołdzino is a village in northern Poland known as a gateway to the Słowiński National Park and the nearby coastal lakes and shifting sand dunes.
 E530798 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: Smołdzino | Statement: [Lake Łebsko, near, Smołdzino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Smołdzino
Context triple: [Lake Łebsko, near, Smołdzino]
  • A. Milejewo
    Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
  • B. Mołodeczno
    Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
  • C. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • 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: Smołdzino
Triple: [Lake Łebsko, near, Smołdzino]
Generated description
Smołdzino is a village in northern Poland known as a gateway to the Słowiński National Park and the nearby coastal lakes and shifting sand dunes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Smołdzino
Target entity description: Smołdzino is a village in northern Poland known as a gateway to the Słowiński National Park and the nearby coastal lakes and shifting sand dunes.
  • A. Milejewo
    Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
  • B. Mołodeczno
    Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
  • C. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f73cc8c8190a92a839c1ca804c7 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f2e98c8190880752c9ae8aba4f completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c04375a6e48190be2ce054fe79f8fc completed March 22, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69c043f987a48190828e012763fa0576 completed March 22, 2026, 7:33 p.m.
Created at: March 22, 2026, 3:34 p.m.