Triple

T15878161
Position Surface form Disambiguated ID Type / Status
Subject Magerøya E385002 entity
Predicate hasTouristAttraction P530 FINISHED
Object Gjesværstappan E1150926 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: Gjesværstappan | Statement: [Magerøya, hasTouristAttraction, Gjesværstappan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjesværstappan
Context triple: [Magerøya, hasTouristAttraction, Gjesværstappan]
  • A. Gjesvær chosen
    Gjesvær is a small coastal fishing village in northern Norway known for its rich birdlife and proximity to the North Cape.
  • B. Byrkjelo
    Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
  • C. Gjerdrum
    Gjerdrum is a small rural municipality in Viken county, Norway, known for its agricultural landscape and proximity to the Oslo metropolitan area.
  • D. Avaldsnes
    Avaldsnes is a historic village in Rogaland county, Norway, known as one of the country’s oldest royal seats and a key center in Viking-era history.
  • E. Skarsvåg
    Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fec9d4819081efea504e1e3952 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.