Triple

T15814331
Position Surface form Disambiguated ID Type / Status
Subject Karyes Typikon E383435 entity
Predicate associatedWith P37 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: [Karyes Typikon, associatedWith, Karyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karyes
Context triple: [Karyes Typikon, associatedWith, 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. Kerasochori
    Kerasochori is a small mountain village in the Agrafa region of central Greece, known for its traditional character and scenic natural surroundings.
  • D. 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.
  • E. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a1571881909488728f123865ad completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa131784c8190bd6aba2cca084d20 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.