Triple

T10428112
Position Surface form Disambiguated ID Type / Status
Subject Hole E245838 entity
Predicate locatedOn P40 FINISHED
Object Tyrifjorden E114134 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: Tyrifjorden | Statement: [Hole, locatedOn, Tyrifjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrifjorden
Context triple: [Hole, locatedOn, Tyrifjorden]
  • A. Tyrifjorden chosen
    Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
  • B. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • C. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • D. Granvinfjorden
    Granvinfjorden is a small side fjord in Vestland county, Norway, branching off the larger Hardangerfjord and surrounded by steep mountainous terrain.
  • E. Horgefjorden
    Horgefjorden is a fjord in Rogaland county, Norway, known for its coastal landscapes and proximity to the island municipality of Finnøy.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5197cc8190ad70c665ec2f8fa8 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:13 p.m.