Triple

T20595186
Position Surface form Disambiguated ID Type / Status
Subject Ørland E506032 entity
Predicate hasSettlement P1068 FINISHED
Object Ottersbo
Ottersbo is a small residential settlement located in the municipality of Ørland in Trøndelag county, Norway.
E1440464 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: Ottersbo | Statement: [Ørland, hasSettlement, Ottersbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottersbo
Context triple: [Ørland, hasSettlement, Ottersbo]
  • A. Holsen
    Holsen is a village and district of the town of Bünde in North Rhine-Westphalia, Germany.
  • B. Malchow
    Malchow is a small locality within the Berlin borough of Lichtenberg, known for its more rural character and green surroundings compared to the inner city.
  • C. Malchow
    Malchow is a small town in the Mecklenburg Lake District of northeastern Germany, known for its lakeside setting and historic island old town.
  • D. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • E. Schwarzenbek
    Schwarzenbek is a small town in northern Germany’s Schleswig-Holstein state, known as a local commercial and residential center with good transport links to Hamburg.
  • 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: Ottersbo
Triple: [Ørland, hasSettlement, Ottersbo]
Generated description
Ottersbo is a small residential settlement located in the municipality of Ørland in Trøndelag county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ottersbo
Target entity description: Ottersbo is a small residential settlement located in the municipality of Ørland in Trøndelag county, Norway.
  • A. Holsen
    Holsen is a village and district of the town of Bünde in North Rhine-Westphalia, Germany.
  • B. Malchow
    Malchow is a small locality within the Berlin borough of Lichtenberg, known for its more rural character and green surroundings compared to the inner city.
  • C. Malchow
    Malchow is a small town in the Mecklenburg Lake District of northeastern Germany, known for its lakeside setting and historic island old town.
  • D. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • E. Schwarzenbek
    Schwarzenbek is a small town in northern Germany’s Schleswig-Holstein state, known as a local commercial and residential center with good transport links to Hamburg.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1b1c6c8190a2d85e7a390fc6a5 completed April 20, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3ecd2ac8190af9e382780611490 completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b82c70108190b53f435e0f0fcbaa completed May 16, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08b8839c6c8190b6f907bee09eb8be completed May 16, 2026, 6:33 p.m.
Created at: April 16, 2026, 11:40 a.m.