Triple

T17668329
Position Surface form Disambiguated ID Type / Status
Subject Geithusfoss power station E440445 entity
Predicate locatedOnWaterfall P85243 FINISHED
Object Geithusfossen
Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
E1280539 NE FINISHED

How this triple was built (5 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: Geithusfossen | Statement: [Geithusfoss power station, locatedOnWaterfall, Geithusfossen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geithusfossen
Context triple: [Geithusfoss power station, locatedOnWaterfall, Geithusfossen]
  • A. Hellefoss
    Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
  • B. Herefoss
    Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
  • C. Vammafossen
    Vammafossen is a notable waterfall on the Glomma River in Norway, known for its powerful flow and associated hydroelectric power development.
  • D. Feigefossen waterfall
    Feigefossen waterfall is a prominent and scenic cascade in Norway, known for its impressive height and dramatic drop within the fjord landscape of Luster.
  • E. Rjukanfossen
    Rjukanfossen is a famous Norwegian waterfall in Telemark, historically known for its dramatic drop and for powering early industrial development in the town of Rjukan.
  • 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: Geithusfossen
Triple: [Geithusfoss power station, locatedOnWaterfall, Geithusfossen]
Generated description
Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geithusfossen
Target entity description: Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
  • A. Hellefoss
    Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
  • B. Herefoss
    Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
  • C. Vammafossen
    Vammafossen is a notable waterfall on the Glomma River in Norway, known for its powerful flow and associated hydroelectric power development.
  • D. Feigefossen waterfall
    Feigefossen waterfall is a prominent and scenic cascade in Norway, known for its impressive height and dramatic drop within the fjord landscape of Luster.
  • E. Rjukanfossen
    Rjukanfossen is a famous Norwegian waterfall in Telemark, historically known for its dramatic drop and for powering early industrial development in the town of Rjukan.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedOnWaterfall
Context triple: [Geithusfoss power station, locatedOnWaterfall, Geithusfossen]
  • A. waterfallLocation chosen
    Indicates the spatial location or geographic area where a waterfall is situated.
  • B. nearbyWaterfall
    Indicates that the entity is located close to or within a short distance of a waterfall.
  • C. locatedInGeographicFeature
    Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
  • D. locatedOnWaterbody
    Indicates that an entity is situated on or directly adjacent to a specified body of water.
  • E. waterfallName
    Indicates that an entity is identified by or associated with the specific name of a waterfall.
  • F. None of above.

Provenance (6 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6723d081908eaa57eef6d70bd0 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a021660717c8190a2d82466910ebd67 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0217b86b3881909d26d9e28992c79e completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a02182a78c081909e92baecf662fbba completed May 11, 2026, 5:55 p.m.
PD Predicate disambiguation batch_69e3cde007d8819090dd92eea9f022cc completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 9:58 a.m.