Triple

T13113803
Position Surface form Disambiguated ID Type / Status
Subject Wandlitz E311040 entity
Predicate hasSubdivision P747 FINISHED
Object Lanke
Lanke is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
E1021575 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: Lanke | Statement: [Wandlitz, hasSubdivision, Lanke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanke
Context triple: [Wandlitz, hasSubdivision, Lanke]
  • A. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • B. Karlaplan
    Karlaplan is a prominent circular plaza and park with a central fountain in the Östermalm district of Stockholm, Sweden.
  • C. Lierna
    Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
  • D. Balivanich
    Balivanich is the main village and administrative center on the island of Benbecula in Scotland’s Outer Hebrides.
  • E. Lanckorona
    Lanckorona is a historic village in southern Poland known for its well-preserved wooden architecture and picturesque hillside setting.
  • 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: Lanke
Triple: [Wandlitz, hasSubdivision, Lanke]
Generated description
Lanke is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lanke
Target entity description: Lanke is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • A. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • B. Karlaplan
    Karlaplan is a prominent circular plaza and park with a central fountain in the Östermalm district of Stockholm, Sweden.
  • C. Lierna
    Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
  • D. Balivanich
    Balivanich is the main village and administrative center on the island of Benbecula in Scotland’s Outer Hebrides.
  • E. Lanckorona
    Lanckorona is a historic village in southern Poland known for its well-preserved wooden architecture and picturesque hillside setting.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e32bf5508190b4dc58971f8f64d0 completed May 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 9:06 p.m.