Triple

T7448689
Position Surface form Disambiguated ID Type / Status
Subject Kjelsås E171949 entity
Predicate hasCityCenterConnection P3791 FINISHED
Object Oslo city center E150936 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: Oslo city center | Statement: [Kjelsås, hasCityCenterConnection, Oslo city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo city center
Context triple: [Kjelsås, hasCityCenterConnection, Oslo city center]
  • A. Sentrum, Oslo chosen
    Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
  • B. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • C. Majorstuen, Oslo
    Majorstuen is a central neighborhood in Oslo, Norway, known for its busy transport hub, shopping streets, and cultural institutions.
  • D. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • E. Oslo East
    Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
  • 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: hasCityCenterConnection
Context triple: [Kjelsås, hasCityCenterConnection, Oslo city center]
  • A. hasPublicTransportConnection chosen
    Indicates that there is an available public transportation link or service connecting the related entities.
  • B. hasUndergroundConnections
    Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
  • C. hasPassengerRailConnection
    Indicates that there exists a passenger rail service linking one location or transport node to another.
  • D. hasMajorRailLinksTo
    Indicates that there are significant railway connections or routes between two locations.
  • E. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f389ddd48190a4b8753c67220c4f completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e56e62d48190b0e25464ebffe148 completed March 29, 2026, 8:40 a.m.
PD Predicate disambiguation batch_69c6f039f7248190bb4183f97b605763 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:14 p.m.