Triple

T13952249
Position Surface form Disambiguated ID Type / Status
Subject Hvalseyfjorden E335556 entity
Predicate hasNearbyWaterBody P1489 FINISHED
Object Eriksfjord E1087269 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: Eriksfjord | Statement: [Hvalseyfjorden, hasNearbyWaterBody, Eriksfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eriksfjord
Context triple: [Hvalseyfjorden, hasNearbyWaterBody, Eriksfjord]
  • A. Eriksfjord chosen
    Eriksfjord is a fjord in southern Greenland historically known as the site of Norse settlements, including Erik the Red’s Brattahlid farmstead.
  • B. Eresfjord
    Eresfjord is a small village in Møre og Romsdal county in western Norway, situated at the end of the Eresfjorden and surrounded by steep mountains and scenic fjord landscapes.
  • C. Ullsfjord
    Ullsfjord is a scenic fjord in northern Norway known for its dramatic coastal landscapes and Arctic surroundings in the Troms region.
  • D. Syltefjord
    Syltefjord is a remote, narrow fjord on Norway’s Varanger Peninsula known for its dramatic coastal scenery and rich birdlife.
  • E. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 9, 2026, 10:17 p.m.