Triple

T10536717
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate hasTown P847 FINISHED
Object Sala E856062 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: Sala | Statement: [Västmanland, hasTown, Sala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sala
Context triple: [Västmanland, hasTown, Sala]
  • A. Sala chosen
    Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
  • B. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • C. Salão
    Salão is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and Atlantic coastal setting.
  • D. Sala Comacina
    Sala Comacina is a small lakeside village and comune on the shores of Lake Como in northern Italy, known for its scenic setting opposite Isola Comacina.
  • E. Sala Petrassi
    Sala Petrassi is a modern concert and performance hall in Rome, Italy, known for hosting a wide range of contemporary music, theater, and cultural events.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:31 p.m.