Triple

T15244203
Position Surface form Disambiguated ID Type / Status
Subject Alta Municipality E364335 entity
Predicate hasPopulationCentre P2106 FINISHED
Object Elvebakken
Elvebakken is a populated area within Alta Municipality in northern Norway, known as one of the local residential and service centers of the region.
E1146194 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: Elvebakken | Statement: [Alta Municipality, hasPopulationCentre, Elvebakken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvebakken
Context triple: [Alta Municipality, hasPopulationCentre, Elvebakken]
  • A. Lysthaugen
    Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
  • B. Lysgårdsbakken
    Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
  • C. Svingvoll
    Svingvoll is a small village in Innlandet county, Norway, known for its rural setting and proximity to skiing and outdoor recreation areas.
  • D. Eltonåsen
    Eltonåsen is a village in Nannestad municipality in Viken county, Norway, known as a small residential community within commuting distance of Oslo.
  • E. Byrkjedal
    Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
  • 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: Elvebakken
Triple: [Alta Municipality, hasPopulationCentre, Elvebakken]
Generated description
Elvebakken is a populated area within Alta Municipality in northern Norway, known as one of the local residential and service centers of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elvebakken
Target entity description: Elvebakken is a populated area within Alta Municipality in northern Norway, known as one of the local residential and service centers of the region.
  • A. Lysthaugen
    Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
  • B. Lysgårdsbakken
    Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
  • C. Svingvoll
    Svingvoll is a small village in Innlandet county, Norway, known for its rural setting and proximity to skiing and outdoor recreation areas.
  • D. Eltonåsen
    Eltonåsen is a village in Nannestad municipality in Viken county, Norway, known as a small residential community within commuting distance of Oslo.
  • E. Byrkjedal
    Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee7eabf908190b9248f397319eb6b completed May 9, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69fee83bbff481908e297e2c4b2811fb completed May 9, 2026, 7:54 a.m.
Created at: April 10, 2026, 3:13 a.m.