Triple

T21153220
Position Surface form Disambiguated ID Type / Status
Subject Machrie E521245 entity
Predicate locatedNear P294 FINISHED
Object Shiskine NE NERFINISHED

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: Shiskine | Statement: [Machrie, locatedNear, Shiskine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiskine
Context triple: [Machrie, locatedNear, Shiskine]
  • A. Shiskine chosen
    Shiskine is a small village on the Isle of Arran in Scotland, known for its rural setting and close-knit community.
  • B. Mordano
    Mordano is a small municipality in Italy’s Emilia-Romagna region, known as the birthplace of Fascist-era politician and diplomat Dino Grandi.
  • C. Chakosi
    Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
  • D. Oreshak
    Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
  • E. Salka
    Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252929748190afd85be40294293f completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.