Triple

T1308234
Position Surface form Disambiguated ID Type / Status
Subject Trafalgar Square E27928 entity
Predicate receivesGiftFrom P23811 FINISHED
Object City of Oslo E3654 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: City of Oslo | Statement: [Trafalgar Square, receivesGiftFrom, City of Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of Oslo
Context triple: [Trafalgar Square, receivesGiftFrom, City of Oslo]
  • A. Oslo chosen
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • B. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • C. 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.
  • D. 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.
  • E. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • 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: receivesGiftFrom
Context triple: [Trafalgar Square, receivesGiftFrom, City of Oslo]
  • A. giftedBy chosen
    Indicates that one entity has given or presented another entity as a gift to a recipient.
  • B. receives
    Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
  • C. traditionalGift
    Indicates that one entity customarily gives another entity a gift in accordance with established traditions or cultural practices.
  • D. givenTo
    Indicates that something is transferred or presented by one entity to another as a recipient.
  • E. givenFor
    Indicates that something is provided, offered, or assigned in favor of or on behalf of a particular entity or purpose.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51572d808190b6e2e7a8a3b597f0 completed March 9, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.