Triple

T12827980
Position Surface form Disambiguated ID Type / Status
Subject Antikythera E306706 entity
Predicate locatedNear P294 FINISHED
Object Kythera E140961 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: Kythera | Statement: [Antikythera, locatedNear, Kythera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kythera
Context triple: [Antikythera, locatedNear, Kythera]
  • A. Kythira chosen
    Kythira is a Greek island historically associated with the worship of Aphrodite, known for its picturesque villages, beaches, and blend of Ionian and Aegean cultural influences.
  • B. Cythera
    Cythera is a Greek island historically renowned as one of the principal cult centers and legendary birthplaces associated with the goddess Aphrodite.
  • C. Amorgos
    Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
  • D. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • E. Skiros
    Skiros is a Greek island in the central Aegean Sea, known for its traditional villages, rugged coastline, and distinctive local culture.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fae51608190a50970bd038359a5 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed6cc9c8190aa66075505b42ec0 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:33 p.m.