Triple

T15751548
Position Surface form Disambiguated ID Type / Status
Subject Andørja E381857 entity
Predicate hasSettlement P1068 FINISHED
Object Bogen
Bogen is a small settlement located on the island of Andørja in northern Norway.
E1175964 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: Bogen | Statement: [Andørja, hasSettlement, Bogen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogen
Context triple: [Andørja, hasSettlement, Bogen]
  • A. Bogen
    Bogen is a historic town in Lower Bavaria, Germany, situated on the Danube River and known for its medieval heritage and regional significance.
  • B. Spreebogen
    Spreebogen is a prominent riverside area in central Berlin known for its sweeping bend of the River Spree and its concentration of major government and cultural buildings.
  • C. Bigen
    Bigen is one of the small islands that make up Maloelap Atoll in the Marshall Islands, located in the central Pacific Ocean.
  • D. Lügde
    Lügde is a small historic town in North Rhine-Westphalia, Germany, known for its traditional Easter customs and scenic location near the Weser Uplands.
  • E. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • 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: Bogen
Triple: [Andørja, hasSettlement, Bogen]
Generated description
Bogen is a small settlement located on the island of Andørja in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bogen
Target entity description: Bogen is a small settlement located on the island of Andørja in northern Norway.
  • A. Bogen
    Bogen is a historic town in Lower Bavaria, Germany, situated on the Danube River and known for its medieval heritage and regional significance.
  • B. Spreebogen
    Spreebogen is a prominent riverside area in central Berlin known for its sweeping bend of the River Spree and its concentration of major government and cultural buildings.
  • C. Bigen
    Bigen is one of the small islands that make up Maloelap Atoll in the Marshall Islands, located in the central Pacific Ocean.
  • D. Lügde
    Lügde is a small historic town in North Rhine-Westphalia, Germany, known for its traditional Easter customs and scenic location near the Weser Uplands.
  • E. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.