Triple

T13358126
Position Surface form Disambiguated ID Type / Status
Subject Flakstadøya E318747 entity
Predicate hasSettlement P1068 FINISHED
Object Ramberg
Ramberg is a small coastal village in Norway’s Lofoten archipelago, known for its white-sand beach and dramatic surrounding mountains.
 E1037620 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: Ramberg | Statement: [Flakstadøya, hasSettlement, Ramberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ramberg
Context triple: [Flakstadøya, hasSettlement, Ramberg]
  • A. Ruttenberg
    Ruttenberg is a surname most notably associated with Joseph Ruttenberg, an acclaimed cinematographer in American cinema.
  • B. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • C. Rettig
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • D. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • E. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • 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: Ramberg
Triple: [Flakstadøya, hasSettlement, Ramberg]
Generated description
Ramberg is a small coastal village in Norway’s Lofoten archipelago, known for its white-sand beach and dramatic surrounding mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ramberg
Target entity description: Ramberg is a small coastal village in Norway’s Lofoten archipelago, known for its white-sand beach and dramatic surrounding mountains.
  • A. Ruttenberg
    Ruttenberg is a surname most notably associated with Joseph Ruttenberg, an acclaimed cinematographer in American cinema.
  • B. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • C. Rettig
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • D. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • E. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da62887e588190bd7241c720a112a2 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72677b2a48190aad30f3ee6cacefb completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.