Triple

T23384887
Position Surface form Disambiguated ID Type / Status
Subject Vindafjord E593850 entity
Predicate hasLake P1025 FINISHED
Object Storavatnet
Storavatnet is a lake located in the municipality of Vindafjord in Rogaland county, western Norway.
E1583151 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: Storavatnet | Statement: [Vindafjord, hasLake, Storavatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storavatnet
Context triple: [Vindafjord, hasLake, Storavatnet]
  • A. Storavatnet
    Storavatnet is a lake located in the municipality of Tysvær in Rogaland county, western Norway.
  • B. Storavatnet
    Storavatnet is a lake located near the village of Svortland on the island of Bømlo in Vestland county, Norway.
  • C. Mjøsa Lake
    Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
  • D. Breiddalsvatnet
    Breiddalsvatnet is a lake located in Skjåk municipality in Innlandet county, Norway, known for its mountainous surroundings and role in local outdoor recreation.
  • E. Sørvatnet
    Sørvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, Norway.
  • 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: Storavatnet
Triple: [Vindafjord, hasLake, Storavatnet]
Generated description
Storavatnet is a lake located in the municipality of Vindafjord in Rogaland county, western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Storavatnet
Target entity description: Storavatnet is a lake located in the municipality of Vindafjord in Rogaland county, western Norway.
  • A. Storavatnet
    Storavatnet is a lake located near the village of Svortland on the island of Bømlo in Vestland county, Norway.
  • B. Storavatnet
    Storavatnet is a lake located in the municipality of Tysvær in Rogaland county, western Norway.
  • C. Mjøsa Lake
    Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
  • D. Breiddalsvatnet
    Breiddalsvatnet is a lake located in Skjåk municipality in Innlandet county, Norway, known for its mountainous surroundings and role in local outdoor recreation.
  • E. Sørvatnet
    Sørvatnet is a lake located near the village of Svortland in Bømlo municipality in Vestland county, Norway.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5de7b5e081908f965d84cb11ed9d completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c6086e718819093bbd0f3431739cf completed May 19, 2026, 1:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60f685c881909ef5c259da2e661b completed May 19, 2026, 1:09 p.m.
Created at: April 17, 2026, 5:35 p.m.