Triple

T22776216
Position Surface form Disambiguated ID Type / Status
Subject Norwegian National Road 65 E563706 entity
Predicate connectsRegion P845 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: [Norwegian National Road 65, connectsRegion, Orkdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orkdalen
Context triple: [Norwegian National Road 65, connectsRegion, 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. Vikdalen
    Vikdalen is a residential neighborhood located on the Sicklaön peninsula in the Stockholm urban area of Sweden.
  • C. Ogndalsdalen
    Ogndalsdalen is a rural valley area in the Ogndal district of Steinkjer municipality in Trøndelag county, central Norway, characterized by its agricultural landscape and surrounding forested hills.
  • D. Sørkedalen
    Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
  • E. Eikesdalen
    Eikesdalen is a small village in western Norway known for its dramatic valley landscape, steep mountains, and proximity to notable waterfalls and lakes.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b61acf881909d9f54e0966ee3cc completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.