Triple

T15762711
Position Surface form Disambiguated ID Type / Status
Subject Granvinfjorden E382137 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Fjordbotn (Granvin)
Fjordbotn (Granvin) is a small settlement in the former municipality of Granvin in Vestland county, Norway, situated at the innermost end of the Granvinfjorden.
 E1176031 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: Fjordbotn (Granvin) | Statement: [Granvinfjorden, hasShoreSettlement, Fjordbotn (Granvin)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fjordbotn (Granvin)
Context triple: [Granvinfjorden, hasShoreSettlement, Fjordbotn (Granvin)]
  • A. Gryllefjord
    Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
  • B. Granvinfjorden
    Granvinfjorden is a small side fjord in Vestland county, Norway, branching off the larger Hardangerfjord and surrounded by steep mountainous terrain.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Vikevåg
    Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
  • E. Skjelfjord
    Skjelfjord is a small coastal village in the Lofoten archipelago of Nordland county, Norway.
  • 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: Fjordbotn (Granvin)
Triple: [Granvinfjorden, hasShoreSettlement, Fjordbotn (Granvin)]
Generated description
Fjordbotn (Granvin) is a small settlement in the former municipality of Granvin in Vestland county, Norway, situated at the innermost end of the Granvinfjorden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fjordbotn (Granvin)
Target entity description: Fjordbotn (Granvin) is a small settlement in the former municipality of Granvin in Vestland county, Norway, situated at the innermost end of the Granvinfjorden.
  • A. Gryllefjord
    Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
  • B. Granvinfjorden
    Granvinfjorden is a small side fjord in Vestland county, Norway, branching off the larger Hardangerfjord and surrounded by steep mountainous terrain.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Vikevåg
    Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
  • E. Skjelfjord
    Skjelfjord is a small coastal village in the Lofoten archipelago of Nordland county, Norway.
  • 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_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 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.