Triple

T15555683
Position Surface form Disambiguated ID Type / Status
Subject Geiranger E370860 entity
Predicate hasFerryConnection P1831 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: [Geiranger, hasFerryConnection, Hellesylt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellesylt
Context triple: [Geiranger, hasFerryConnection, 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.