Triple

T4843424
Position Surface form Disambiguated ID Type / Status
Subject Moss, Norway E108229 entity
Predicate hasBeach P1922 FINISHED
Object Sjøbadet
Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
 E473997 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: Sjøbadet | Statement: [Moss, Norway, hasBeach, Sjøbadet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sjøbadet
Context triple: [Moss, Norway, hasBeach, Sjøbadet]
  • A. Skudeneshavn
    Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
  • B. Bodø Harbour
    Bodø Harbour is a key coastal port in the Norwegian town of Bodø, serving as an important hub for regional shipping, fishing, and ferry traffic in northern Norway.
  • C. Sogndalstrand
    Sogndalstrand is a historic coastal village in southwestern Norway known for its well-preserved wooden buildings and picturesque harbor setting.
  • D. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • E. Orkdal Harbor
    Orkdal Harbor is a local port facility in Orkland municipality in Trøndelag, Norway, serving regional maritime transport and industry.
  • 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: Sjøbadet
Triple: [Moss, Norway, hasBeach, Sjøbadet]
Generated description
Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sjøbadet
Target entity description: Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
  • A. Skudeneshavn
    Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
  • B. Bodø Harbour
    Bodø Harbour is a key coastal port in the Norwegian town of Bodø, serving as an important hub for regional shipping, fishing, and ferry traffic in northern Norway.
  • C. Sogndalstrand
    Sogndalstrand is a historic coastal village in southwestern Norway known for its well-preserved wooden buildings and picturesque harbor setting.
  • D. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • E. Orkdal Harbor
    Orkdal Harbor is a local port facility in Orkland municipality in Trøndelag, Norway, serving regional maritime transport and industry.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd29c9c8190ab4ca5463ef99c15 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5efdf88481908165609068de9273 completed March 21, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_69be5f63d5d881909c2f8bf29152903f completed March 21, 2026, 9:05 a.m.
Created at: March 20, 2026, 1:25 p.m.