Triple

T14931533
Position Surface form Disambiguated ID Type / Status
Subject European route E12 E372276 entity
Predicate passesThrough P225 FINISHED
Object Holmsund
Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
E1131108 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: Holmsund | Statement: [European route E12, passesThrough, Holmsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holmsund
Context triple: [European route E12, passesThrough, Holmsund]
  • A. Stamsund
    Stamsund is a coastal fishing village in Norway’s Lofoten archipelago, known for its traditional fishing industry, dramatic scenery, and role as a stop on the Hurtigruten coastal ferry route.
  • B. Hokksund
    Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
  • C. Holmsbu
    Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Iggesund
    Iggesund is a small industrial locality in Gävleborg County, Sweden, known for its paperboard mill and proximity to the Gulf of Bothnia.
  • 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: Holmsund
Triple: [European route E12, passesThrough, Holmsund]
Generated description
Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holmsund
Target entity description: Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
  • A. Stamsund
    Stamsund is a coastal fishing village in Norway’s Lofoten archipelago, known for its traditional fishing industry, dramatic scenery, and role as a stop on the Hurtigruten coastal ferry route.
  • B. Hokksund
    Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
  • C. Holmsbu
    Holmsbu is a small coastal village in Norway known for its picturesque harbor, wooden houses, and role as an artists’ retreat.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Iggesund
    Iggesund is a small industrial locality in Gävleborg County, Sweden, known for its paperboard mill and proximity to the Gulf of Bothnia.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968bbbac8190a258c42b226f9def completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97dd344881908619516475c359d8 completed May 9, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69fe9894bcec8190a764040910181020 completed May 9, 2026, 2:14 a.m.
Created at: April 10, 2026, 2:36 a.m.