Triple

T19369962
Position Surface form Disambiguated ID Type / Status
Subject Sain Tathan E484506 entity
Predicate near P350 FINISHED
Object Rhoose 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: Rhoose | Statement: [Sain Tathan, near, Rhoose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhoose
Context triple: [Sain Tathan, near, Rhoose]
  • A. Rhoose chosen
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • B. Roksi
    Roksi is a diminutive, affectionate form of the female given name Roksana, commonly used in Polish and other Slavic languages.
  • C. Schildkraut
    Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
  • D. Mallow
    Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
  • E. Rhoicissus
    Rhoicissus is a genus of climbing or trailing plants in the grape family, known for its ornamental foliage and occurrence in various parts of Africa.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619af33e481908643f8beb2f498dc completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.