Triple

T1761054
Position Surface form Disambiguated ID Type / Status
Subject St. Andrew Skete E38658 entity
Predicate locatedIn P40 FINISHED
Object Karyes E36862 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: Karyes | Statement: [St. Andrew Skete, locatedIn, Karyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karyes
Context triple: [St. Andrew Skete, locatedIn, Karyes]
  • A. Karyes chosen
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • B. Karystos
    Karystos is a coastal town on the southern tip of the Greek island of Euboea, known for its natural harbor, marble quarries, and archaeological remains.
  • C. Perachori
    Perachori is a traditional mountain village on the Greek island of Ithaca, known for its scenic views, stone houses, and proximity to hiking trails and historical sites.
  • D. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • E. Ialysos
    Ialysos is a town and seaside resort on the northwest coast of the Greek island of Rhodes, known for its beaches and archaeological remains from ancient Ialysos.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64410b58819098be7dc5da23d7af completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4db1c48190a96f137db3e2f32c completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.