Triple

T12150830
Position Surface form Disambiguated ID Type / Status
Subject Bardufoss E289447 entity
Predicate nearbySettlement P350 FINISHED
Object Andslimoen
Andslimoen is a small village in northern Norway located close to the town of Bardufoss in Målselv Municipality, Troms og Finnmark county.
 E966883 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: Andslimoen | Statement: [Bardufoss, nearbySettlement, Andslimoen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andslimoen
Context triple: [Bardufoss, nearbySettlement, Andslimoen]
  • A. Lomme
    Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • B. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • C. Bristelmestune
    Bristelmestune is the early recorded medieval name for the English coastal town later known as Brighthelmstone and now as Brighton.
  • D. Kaarsild
    Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
  • E. Ormåsen
    Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud 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: Andslimoen
Triple: [Bardufoss, nearbySettlement, Andslimoen]
Generated description
Andslimoen is a small village in northern Norway located close to the town of Bardufoss in Målselv Municipality, Troms og Finnmark county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andslimoen
Target entity description: Andslimoen is a small village in northern Norway located close to the town of Bardufoss in Målselv Municipality, Troms og Finnmark county.
  • A. Lomme
    Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • B. Haslum
    Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
  • C. Bristelmestune
    Bristelmestune is the early recorded medieval name for the English coastal town later known as Brighthelmstone and now as Brighton.
  • D. Kaarsild
    Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
  • E. Ormåsen
    Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69aa2e88190aaa58468571d6dad completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:49 p.m.