Triple

T16903757
Position Surface form Disambiguated ID Type / Status
Subject Sør-Varanger E424503 entity
Predicate hasBorderRiver P225 FINISHED
Object Jakobselva
Jakobselva is a river in northern Norway that forms part of the border between Norway and Russia.
E1239402 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: Jakobselva | Statement: [Sør-Varanger, hasBorderRiver, Jakobselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakobselva
Context triple: [Sør-Varanger, hasBorderRiver, Jakobselva]
  • A. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • B. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • C. Steinsdalselva
    Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
  • D. Solbergelva
    Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
  • E. Saltdalselva
    Saltdalselva is a river in Nordland county, Norway, known for flowing through the Saltdal valley and offering notable salmon fishing and scenic natural landscapes.
  • 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: Jakobselva
Triple: [Sør-Varanger, hasBorderRiver, Jakobselva]
Generated description
Jakobselva is a river in northern Norway that forms part of the border between Norway and Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jakobselva
Target entity description: Jakobselva is a river in northern Norway that forms part of the border between Norway and Russia.
  • A. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • B. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • C. Steinsdalselva
    Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
  • D. Solbergelva
    Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
  • E. Saltdalselva
    Saltdalselva is a river in Nordland county, Norway, known for flowing through the Saltdal valley and offering notable salmon fishing and scenic natural landscapes.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8de3070819085bfe9696bc887ea completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b47a6081909d8609c2bce96d1a completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c84074b0819095853775625b320d completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8cdcda88190ba4f05a9035668f9 completed May 10, 2026, 6:05 p.m.
Created at: April 10, 2026, 5:30 a.m.