Triple

T6288696
Position Surface form Disambiguated ID Type / Status
Subject Kythira E140961 entity
Predicate alternativeName P39 FINISHED
Object Cythera E174964 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: Cythera | Statement: [Kythira, alternativeName, Cythera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cythera
Context triple: [Kythira, alternativeName, Cythera]
  • A. Cythera chosen
    Cythera is a Greek island historically renowned as one of the principal cult centers and legendary birthplaces associated with the goddess Aphrodite.
  • B. Scyros
    Scyros is a Greek island in the Aegean Sea, historically notable as the legendary place where the hero Theseus met his death.
  • C. Panormos
    Panormos is a small coastal village and harbor on the Greek island of Tinos, known for its traditional Cycladic architecture and seaside tavernas.
  • D. Panormos
    Panormos is the ancient Greek name for the city now known as Palermo, a major historic port and cultural center in Sicily.
  • E. Panormos
    Panormos is a small coastal village in the Rethymno regional unit of Crete, Greece, known for its beaches, traditional architecture, and relaxed holiday atmosphere.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064182f60819093a8313e1dbf2763 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519794a9481909a72a8dcdfaf41f8 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:26 p.m.