Triple

T11091713
Position Surface form Disambiguated ID Type / Status
Subject Sokndal E262270 entity
Predicate hasVillage P4011 FINISHED
Object Sogndalsstranda E46828 NE FINISHED

How this triple was built (2 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: Sogndalsstranda | Statement: [Sokndal, hasVillage, Sogndalsstranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sogndalsstranda
Context triple: [Sokndal, hasVillage, Sogndalsstranda]
  • A. Sogndalstrand chosen
    Sogndalstrand is a historic coastal village in southwestern Norway known for its well-preserved wooden buildings and picturesque harbor setting.
  • B. Rognstranda beach
    Rognstranda beach is a popular sandy seaside destination in Bamble, Norway, known for its scenic coastline and recreational swimming opportunities.
  • C. Stranda
    Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
  • D. Nordstrand
    Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
  • E. Nordstrand
    Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.