Triple

T3367696
Position Surface form Disambiguated ID Type / Status
Subject Øresund E70875 entity
Predicate bridgeConnects P36619 FINISHED
Object Copenhagen E12606 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: Copenhagen | Statement: [Øresund, bridgeConnects, Copenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen
Context triple: [Øresund, bridgeConnects, Copenhagen]
  • A. Copenhagen chosen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • B. Odense
    Odense is a historic Danish city on the island of Funen, best known as the birthplace of fairy-tale author Hans Christian Andersen and a cultural hub with museums, festivals, and a vibrant literary heritage.
  • C. Aarhus
    Aarhus is Denmark’s second-largest city, a major cultural and economic center on the Jutland peninsula known for its universities, vibrant arts scene, and historic harbor.
  • D. Esbjerg
    Esbjerg is a major Danish port city on the North Sea, known for its offshore oil and wind industry, maritime heritage, and role as a regional economic center in western Jutland.
  • E. Aalborg
    Aalborg is a major city in northern Denmark known for its historic architecture, vibrant cultural life, and role as a regional economic and educational center.
  • 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: bridgeConnects
Context triple: [Øresund, bridgeConnects, Copenhagen]
  • A. bridgeLocation
    Indicates the specific place or area where a bridge is situated or spans.
  • B. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. bridgeName
    Indicates the designated name assigned to a specific bridge.
  • D. ridgeConnection
    Indicates a structural relationship where one ridge is connected or linked to another ridge, forming a continuous or associated ridge feature.
  • E. hasBridgeTo chosen
    Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2890480819082fe2e3c2874cece completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ebd33c8190956ddf7bc3f0563f completed March 13, 2026, 1:27 a.m.
PD Predicate disambiguation batch_69ada4317e288190ab7d0f66e9dba65f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.