Triple

T13292082
Position Surface form Disambiguated ID Type / Status
Subject Bremnesfjorden E316582 entity
Predicate isPartOfCoastlineOf P60480 FINISHED
Object Møre og Romsdal E114915 NE FINISHED

How this triple was built (3 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: Møre og Romsdal | Statement: [Bremnesfjorden, isPartOfCoastlineOf, Møre og Romsdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Møre og Romsdal
Context triple: [Bremnesfjorden, isPartOfCoastlineOf, Møre og Romsdal]
  • A. Møre og Romsdal chosen
    Møre og Romsdal is a coastal county in western Norway known for its dramatic fjords, islands, and mountainous landscapes.
  • B. Sogn og Fjordane
    Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
  • C. Rogaland
    Rogaland is a county in southwestern Norway known for its rugged coastline, fjords, and the oil industry centered around the city of Stavanger.
  • D. Stjørdal
    Stjørdal is a Norwegian town and municipality in Trøndelag county, known as a regional transport hub near Trondheim and for its location at the mouth of the Stjørdalselva river.
  • E. Hordaland
    Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfCoastlineOf
Context triple: [Bremnesfjorden, isPartOfCoastlineOf, Møre og Romsdal]
  • A. isPartOfCoastOf chosen
    Indicates that one entity forms a segment or component of the coastline belonging to another entity.
  • B. hasCoastlineOn
    Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
  • C. influencedCoastlineOf
    Indicates that one entity has affected, shaped, or altered the characteristics, form, or condition of another entity’s coastline.
  • D. hasCoastline
    Indicates that a geographic entity is bordered by and directly touches a sea or ocean along part of its boundary.
  • E. hasCountryCoastline
    Indicates that a country possesses a coastline along a sea or ocean.
  • F. None of above.

Provenance (4 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69d98f6893708190aeebf4c47386cff7 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.