Triple

T20583977
Position Surface form Disambiguated ID Type / Status
Subject Orkdal E505734 entity
Predicate partOf P40 FINISHED
Object Orkdalen NE NERFINISHED

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: Orkdalen | Statement: [Orkdal, partOf, Orkdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orkdalen
Context triple: [Orkdal, partOf, Orkdalen]
  • A. Orkdalen chosen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • B. Sørkedalen
    Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
  • C. Eikesdalen
    Eikesdalen is a small village in western Norway known for its dramatic valley landscape, steep mountains, and proximity to notable waterfalls and lakes.
  • D. Grøtnesdalen
    Grøtnesdalen is a small settlement located on the island of Ringvassøya in northern Norway.
  • E. Sogndalsdalen
    Sogndalsdalen is a scenic valley in western Norway known for its dramatic landscapes, rivers, and access to hiking and outdoor activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a974ee4c819099310b46885a5597 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.