Triple

T18326795
Position Surface form Disambiguated ID Type / Status
Subject Rondslottet E439029 entity
Predicate typicalAccessPoint P26211 FINISHED
Object Spranget
Spranget is a common starting point for hikers and mountaineers heading into the Rondane mountains of Norway, particularly toward peaks like Rondslottet.
 E1318884 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: Spranget | Statement: [Rondslottet, typicalAccessPoint, Spranget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spranget
Context triple: [Rondslottet, typicalAccessPoint, Spranget]
  • A. Springe
    Springe is a small town in Lower Saxony, Germany, located near Hanover and known for its surrounding Deister hills and natural landscapes.
  • B. Sparbu
    Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • C. Strandebarm
    Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • 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: Spranget
Triple: [Rondslottet, typicalAccessPoint, Spranget]
Generated description
Spranget is a common starting point for hikers and mountaineers heading into the Rondane mountains of Norway, particularly toward peaks like Rondslottet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spranget
Target entity description: Spranget is a common starting point for hikers and mountaineers heading into the Rondane mountains of Norway, particularly toward peaks like Rondslottet.
  • A. Springe
    Springe is a small town in Lower Saxony, Germany, located near Hanover and known for its surrounding Deister hills and natural landscapes.
  • B. Sparbu
    Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • C. Strandebarm
    Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4cc227481909497c0d13a8eb816 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c8e79b8c8190a8e20ad0ef90fc19 completed May 13, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_6a03c94a98ac819085d3f99bdf6f4970 completed May 13, 2026, 12:43 a.m.
Created at: April 10, 2026, 10:36 a.m.