Triple

T3517935
Position Surface form Disambiguated ID Type / Status
Subject Hardangerfjord E74351 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Eidfjord E376637 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: Eidfjord | Statement: [Hardangerfjord, hasSettlementOnShore, Eidfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidfjord
Context triple: [Hardangerfjord, hasSettlementOnShore, Eidfjord]
  • A. Eidfjord chosen
    Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
  • B. Osafjorden
    Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
  • C. Aurlandsfjord
    Aurlandsfjord is a scenic branch of Norway’s Sognefjord, renowned for its steep mountainsides, deep blue waters, and picturesque fjord villages.
  • D. Eidfjorden
    Eidfjorden is a scenic inner branch of Norway’s Hardangerfjord, known for its steep mountainsides, waterfalls, and fjord landscapes.
  • E. Hvalseyfjorden
    Hvalseyfjorden is a fjord in southern Greenland known for its association with the nearby Norse settlement of Hvalsey and its historic church ruins.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc32f90081908960acb3e94402be completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f018fe0481908291195f55fd765f completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:19 p.m.