Triple

T11422364
Position Surface form Disambiguated ID Type / Status
Subject Töölö E270655 entity
Predicate borderedBy P224 FINISHED
Object Meilahti E203464 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: Meilahti | Statement: [Töölö, borderedBy, Meilahti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meilahti
Context triple: [Töölö, borderedBy, Meilahti]
  • A. Meilahti chosen
    Meilahti is a district in Helsinki, Finland, known for its major hospital complex, university facilities, and coastal residential areas.
  • B. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • C. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • D. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • E. Pelinna
    Pelinna was an ancient city in Thessaly, Greece, notable as an archaeological site where Orphic gold tablets associated with mystery cult funerary practices were discovered.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.