Triple

T1573793
Position Surface form Disambiguated ID Type / Status
Subject Ofotfjord E33601 entity
Predicate receivesFrom P4382 FINISHED
Object Rombakselva river
The Rombakselva river is a watercourse in northern Norway that flows through the Rombaksbotn area before emptying into the inner part of the Ofotfjord.
 E179567 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: Rombakselva river | Statement: [Ofotfjord, receivesFrom, Rombakselva river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rombakselva river
Context triple: [Ofotfjord, receivesFrom, Rombakselva river]
  • A. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • B. Nordre Ål
    Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
  • C. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • D. Limmat River
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
  • E. Namdalen
    Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
  • 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: Rombakselva river
Triple: [Ofotfjord, receivesFrom, Rombakselva river]
Generated description
The Rombakselva river is a watercourse in northern Norway that flows through the Rombaksbotn area before emptying into the inner part of the Ofotfjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rombakselva river
Target entity description: The Rombakselva river is a watercourse in northern Norway that flows through the Rombaksbotn area before emptying into the inner part of the Ofotfjord.
  • A. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • B. Nordre Ål
    Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
  • C. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • D. Limmat River
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
  • E. Namdalen
    Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908bcd87881908b911314a30dd327 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4028bc5881909dbe847229dd63bb completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad41930d208190b34531e3f35fa58b completed March 8, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_69ad422752348190b42ebc3781a6e8a5 completed March 8, 2026, 9:32 a.m.
Created at: March 4, 2026, 7:27 p.m.