Triple

T16914145
Position Surface form Disambiguated ID Type / Status
Subject Governing Body of Suomenlinna E410277 entity
Predicate cooperatesWith P435 FINISHED
Object City of Helsinki E14163 NE FINISHED

How this triple was built (2 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 Helsinki | Statement: [Governing Body of Suomenlinna, cooperatesWith, City of Helsinki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Helsinki
Context triple: [Governing Body of Suomenlinna, cooperatesWith, City of Helsinki]
  • A. Helsinki chosen
    Helsinki is the capital and largest city of Finland, known for its coastal location on the Baltic Sea, modern design, and vibrant cultural life.
  • B. Mannila
    Mannila is a Finnish surname borne by individuals such as computer scientist Heikki Mannila.
  • C. Open Helsinki
    Open Helsinki is a design initiative focused on integrating human-centered design principles into everyday urban life in Helsinki.
  • D. Espoo
    Espoo is Finland’s second-largest city, located just west of Helsinki on the southern coast, known for its technology industry, natural landscapes, and role as part of the Helsinki metropolitan area.
  • E. 42 Helsinki
    42 Helsinki is a Finnish campus of the global, tuition-free 42 coding school network, offering peer-to-peer, project-based software engineering education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232b75508190bcceaf0d338f8d02 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:30 a.m.