Triple

T15332134
Position Surface form Disambiguated ID Type / Status
Subject Oldedalen E366560 entity
Predicate hasWaterBody P165 FINISHED
Object Floen
Floen is a small lake situated in Norway’s Oldedalen valley, known for its scenic glacial surroundings.
E1149877 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: Floen | Statement: [Oldedalen, hasWaterBody, Floen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floen
Context triple: [Oldedalen, hasWaterBody, Floen]
  • A. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • B. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • C. Fjaler
    Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
  • D. Flöha
    Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
  • E. Fluberg
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • 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: Floen
Triple: [Oldedalen, hasWaterBody, Floen]
Generated description
Floen is a small lake situated in Norway’s Oldedalen valley, known for its scenic glacial surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Floen
Target entity description: Floen is a small lake situated in Norway’s Oldedalen valley, known for its scenic glacial surroundings.
  • A. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • B. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • C. Fjaler
    Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
  • D. Flöha
    Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
  • E. Fluberg
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b2ea5c8190b6e5f3fcbd7c265f completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa54397c81909c9bfb8c0553b3d1 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb04d7e4819084ac10e05dccb3e3 completed May 9, 2026, 9:14 a.m.
Created at: April 10, 2026, 3:17 a.m.