Triple

T21960426
Position Surface form Disambiguated ID Type / Status
Subject Gásadalur E542311 entity
Predicate hasWaterfall P13549 FINISHED
Object Múlafossur
Múlafossur is a dramatic coastal waterfall in the Faroe Islands, famous for plunging from cliffs near the village of Gásadalur directly into the North Atlantic Ocean.
 E1510231 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: Múlafossur | Statement: [Gásadalur, hasWaterfall, Múlafossur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Múlafossur
Context triple: [Gásadalur, hasWaterfall, Múlafossur]
  • A. Vammafossen
    Vammafossen is a notable waterfall on the Glomma River in Norway, known for its powerful flow and associated hydroelectric power development.
  • B. Follafoss
    Follafoss is a small village in Trøndelag county, Norway, known for its hydroelectric power plant and scenic fjord-side setting.
  • C. Bøsdalafossur
    Bøsdalafossur is a dramatic waterfall on the Faroe Islands where the lake Sørvágsvatn plunges directly into the North Atlantic Ocean.
  • D. Svelgfoss
    Svelgfoss is a notable waterfall on the Tinnelva river in Norway, known for its powerful flow and scenic surroundings.
  • E. Geithusfossen
    Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
  • 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: Múlafossur
Triple: [Gásadalur, hasWaterfall, Múlafossur]
Generated description
Múlafossur is a dramatic coastal waterfall in the Faroe Islands, famous for plunging from cliffs near the village of Gásadalur directly into the North Atlantic Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Múlafossur
Target entity description: Múlafossur is a dramatic coastal waterfall in the Faroe Islands, famous for plunging from cliffs near the village of Gásadalur directly into the North Atlantic Ocean.
  • A. Vammafossen
    Vammafossen is a notable waterfall on the Glomma River in Norway, known for its powerful flow and associated hydroelectric power development.
  • B. Follafoss
    Follafoss is a small village in Trøndelag county, Norway, known for its hydroelectric power plant and scenic fjord-side setting.
  • C. Bøsdalafossur
    Bøsdalafossur is a dramatic waterfall on the Faroe Islands where the lake Sørvágsvatn plunges directly into the North Atlantic Ocean.
  • D. Svelgfoss
    Svelgfoss is a notable waterfall on the Tinnelva river in Norway, known for its powerful flow and scenic surroundings.
  • E. Geithusfossen
    Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a670c96d48190bb2e654429ef2940 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67a1c82881909f71e24139576c31 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68583248819085f413692d35c1b9 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 8 p.m.