Triple

T15529046
Position Surface form Disambiguated ID Type / Status
Subject Strand E370161 entity
Predicate hasFjord P56784 FINISHED
Object Høgsfjorden (shoreline) E1131424 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: Høgsfjorden (shoreline) | Statement: [Strand, hasFjord, Høgsfjorden (shoreline)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Høgsfjorden (shoreline)
Context triple: [Strand, hasFjord, Høgsfjorden (shoreline)]
  • A. Aurlandsfjord shoreline
    Aurlandsfjord shoreline is the scenic waterfront along Norway’s Aurlandsfjord, known for its dramatic fjord landscapes, steep mountainsides, and picturesque villages.
  • B. Høgsfjorden chosen
    Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
  • C. Horgefjorden
    Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
  • D. Hylsfjorden
    Hylsfjorden is a narrow, scenic fjord in Rogaland county in southwestern Norway, known as part of the Ryfylke fjord system.
  • E. Topdalsfjorden
    Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.