Triple

T1829961
Position Surface form Disambiguated ID Type / Status
Subject Turku and Pori Province E40738 entity
Predicate containsCity P294 FINISHED
Object Salo E116439 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: Salo | Statement: [Turku and Pori Province, containsCity, Salo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salo
Context triple: [Turku and Pori Province, containsCity, Salo]
  • A. Salo chosen
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • B. Boudin
    Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
  • C. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • D. Paippalada
    Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
  • E. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.