Triple

T2912473
Position Surface form Disambiguated ID Type / Status
Subject Royal Norwegian Society of Sciences and Letters E63713 entity
Predicate hasBuildingLocation P42882 FINISHED
Object Trondheim, Norway E136993 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: Trondheim, Norway | Statement: [Royal Norwegian Society of Sciences and Letters, hasBuildingLocation, Trondheim, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trondheim, Norway
Context triple: [Royal Norwegian Society of Sciences and Letters, hasBuildingLocation, Trondheim, Norway]
  • A. Trondheim chosen
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • B. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • C. Stavanger
    Stavanger is a coastal city in southwestern Norway known for its oil industry hub status, historic wooden houses, and proximity to natural attractions like the Lysefjord and Preikestolen.
  • D. Bergen
    Bergen is Norway's second-largest city, renowned for its historic harbor, surrounding mountains and fjords, and role as a former Hanseatic trading hub.
  • E. Tromsø
    Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
  • 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: hasBuildingLocation
Context triple: [Royal Norwegian Society of Sciences and Letters, hasBuildingLocation, Trondheim, Norway]
  • A. containsBuilding
    Indicates that one location or area includes a building within its boundaries.
  • B. hasBuildingStatus
    Indicates the current condition, classification, or operational state assigned to a building.
  • C. hasStationBuilding
    Indicates that a station is associated with or includes a station building as part of its facilities.
  • D. hasHeadquartersBuilding
    Indicates that an organization possesses a specific building that serves as its headquarters location.
  • E. hasBuildingFunction
    Indicates that a building is used for or serves a particular function or purpose.
  • F. None of above. chosen

Provenance (5 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0eb77708190b745b887f3b9a618 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e1250348190abeac8ef6dd9d916 completed March 11, 2026, 8:55 a.m.
PD Predicate disambiguation batch_69abdd1b77608190b20fc078fdb85e64 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abddedd72c819094a9c4161af07780 completed March 7, 2026, 8:12 a.m.
Created at: March 6, 2026, 10:11 p.m.