Triple

T19397427
Position Surface form Disambiguated ID Type / Status
Subject Slidrefjorden E485227 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Røn
Røn is a small village in Vestre Slidre Municipality in Innlandet county, Norway, known for its scenic lakeside setting and traditional rural character.
 E1373672 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: Røn | Statement: [Slidrefjorden, hasShorelineSettlement, Røn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Røn
Context triple: [Slidrefjorden, hasShorelineSettlement, Røn]
  • A. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • B. Rönninge
    Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
  • C. Røra
    Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
  • D. Rælingen
    Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
  • E. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • 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: Røn
Triple: [Slidrefjorden, hasShorelineSettlement, Røn]
Generated description
Røn is a small village in Vestre Slidre Municipality in Innlandet county, Norway, known for its scenic lakeside setting and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Røn
Target entity description: Røn is a small village in Vestre Slidre Municipality in Innlandet county, Norway, known for its scenic lakeside setting and traditional rural character.
  • A. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • B. Rönninge
    Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
  • C. Røra
    Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
  • D. Rælingen
    Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
  • E. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62574edd08190b5456108d5e3907e completed April 20, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b8dd70c8190870a8478a111b887 completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072e41ca0c8190a6d85eaa76d00de8 completed May 15, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a072eb872b88190904f9947228066fb completed May 15, 2026, 2:33 p.m.
Created at: April 10, 2026, 1:36 p.m.