Triple

T5522713
Position Surface form Disambiguated ID Type / Status
Subject Vistula Spit E144848 entity
Predicate alsoKnownAs P39 FINISHED
Object Mierzeja Wiślana
Mierzeja Wiślana is a narrow sandspit on the Baltic Sea coast that separates the Vistula Lagoon from the open sea, shared by Poland and Russia.
 E530800 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: Mierzeja Wiślana | Statement: [Vistula Spit, alsoKnownAs, Mierzeja Wiślana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mierzeja Wiślana
Context triple: [Vistula Spit, alsoKnownAs, Mierzeja Wiślana]
  • A. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • B. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • C. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • D. Głuszyna
    Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
  • E. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • 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: Mierzeja Wiślana
Triple: [Vistula Spit, alsoKnownAs, Mierzeja Wiślana]
Generated description
Mierzeja Wiślana is a narrow sandspit on the Baltic Sea coast that separates the Vistula Lagoon from the open sea, shared by Poland and Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mierzeja Wiślana
Target entity description: Mierzeja Wiślana is a narrow sandspit on the Baltic Sea coast that separates the Vistula Lagoon from the open sea, shared by Poland and Russia.
  • A. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • B. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • C. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • D. Głuszyna
    Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
  • E. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • 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.