Triple

T21954127
Position Surface form Disambiguated ID Type / Status
Subject Royal Drawing School in Kristiania E542140 entity
Predicate historicalCityName P11215 FINISHED
Object Kristiania NE NERFINISHED

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: Kristiania | Statement: [Royal Drawing School in Kristiania, historicalCityName, Kristiania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristiania
Context triple: [Royal Drawing School in Kristiania, historicalCityName, Kristiania]
  • A. Hanøya
    Hanøya is a small Norwegian island that is part of the Askøy municipality in Vestland county.
  • B. Oslo chosen
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • C. Oslo
    Oslo is a collection of shared libraries that provide common code and patterns used across various OpenStack projects.
  • D. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • E. Copenhagen
    Copenhagen is a popular American smokeless tobacco (chewing tobacco/dip) brand known for its long history and strong presence in the U.S. market.
  • 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: historicalCityName
Context triple: [Royal Drawing School in Kristiania, historicalCityName, Kristiania]
  • A. historicalTownName
    Indicates that the object is a former or historical name by which the town (subject) was previously known.
  • B. historicalCityNameAtConstruction chosen
    Indicates the name a city had at the time a particular structure or construction was originally built.
  • C. capitalOrMajorCityHistorically
    Indicates that a place has historically served as a capital or as a major, centrally important city for a political or cultural entity.
  • D. focusCityHistory
    Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
  • E. hasHistoricCity
    Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
  • F. None of above.

Provenance (3 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243dfb4081909bc7a722843ffea7 completed April 28, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e6f601f2188190893bcdde0cf58ad6 completed April 21, 2026, 3:58 a.m.
Created at: April 16, 2026, 7:59 p.m.