Triple

T15762856
Position Surface form Disambiguated ID Type / Status
Subject Hemnes E382140 entity
Predicate crossedBy P416 FINISHED
Object Leirelva
Leirelva is a river in Nordland county, Norway, that flows through the municipality of Hemnes.
 E1186448 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: Leirelva | Statement: [Hemnes, crossedBy, Leirelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leirelva
Context triple: [Hemnes, crossedBy, Leirelva]
  • A. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • B. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • C. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • D. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • E. Nidelva
    Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
  • 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: Leirelva
Triple: [Hemnes, crossedBy, Leirelva]
Generated description
Leirelva is a river in Nordland county, Norway, that flows through the municipality of Hemnes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leirelva
Target entity description: Leirelva is a river in Nordland county, Norway, that flows through the municipality of Hemnes.
  • A. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • B. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • C. Stryneelva
    Stryneelva is a river in western Norway that flows from the Jostedalsbreen glacier through the scenic Stryn area.
  • D. Fykseelva
    Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
  • E. Nidelva
    Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe66d78c81908308fc16c8d4e19c completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbefd91208190809da95995554152 completed May 9, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffbf745f788190abae3ba723c3a564 completed May 9, 2026, 11:12 p.m.
Created at: April 10, 2026, 4:47 a.m.