Triple

T16342085
Position Surface form Disambiguated ID Type / Status
Subject Storfjorden E396830 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Hellesylt E367279 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: Hellesylt | Statement: [Storfjorden, hasNearbyVillage, Hellesylt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellesylt
Context triple: [Storfjorden, hasNearbyVillage, Hellesylt]
  • A. Hellesylt chosen
    Hellesylt is a small Norwegian village and popular tourist gateway to the UNESCO-listed Geirangerfjord, known for its dramatic fjord scenery and waterfalls.
  • B. Örgryte
    Örgryte is a historic district in Gothenburg, Sweden, known for its residential areas, green spaces, and proximity to the city center.
  • C. Hallau
    Hallau is a Swiss wine-growing village and municipality renowned for its vineyards and traditional viticulture, located in the canton of Schaffhausen.
  • D. Hardanger cider
    Hardanger cider is a traditional Norwegian alcoholic beverage made from apples grown in the Hardanger region, renowned for its distinctive taste and long-standing cultural heritage.
  • E. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.