Triple

T13147525
Position Surface form Disambiguated ID Type / Status
Subject National Tourist Route Senja E312377 entity
Predicate hasViewpoint P854 FINISHED
Object Mefjordvær E312372 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: Mefjordvær | Statement: [National Tourist Route Senja, hasViewpoint, Mefjordvær]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mefjordvær
Context triple: [National Tourist Route Senja, hasViewpoint, Mefjordvær]
  • A. Mefjordvær chosen
    Mefjordvær is a small coastal fishing village on the island of Senja in northern Norway, known for its dramatic fjord scenery and traditional maritime culture.
  • B. Møsstrond
    Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
  • C. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • D. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • E. Skudeneshavn
    Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.