Triple

T14351128
Position Surface form Disambiguated ID Type / Status
Subject Cycladic architecture E355852 entity
Predicate typicalIn P12230 FINISHED
Object Mykonos 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: Mykonos | Statement: [Cycladic architecture, typicalIn, Mykonos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mykonos
Context triple: [Cycladic architecture, typicalIn, Mykonos]
  • A. Mykonos chosen
    Mykonos is a popular Greek island in the Cyclades known for its whitewashed architecture, vibrant nightlife, and picturesque beaches.
  • B. Paros
    Paros is a popular Greek island in the central Aegean known for its traditional Cycladic villages, beaches, and marble quarries.
  • C. Skiathos
    Skiathos is a small Greek island in the northwest Aegean Sea, renowned for its sandy beaches, pine forests, and vibrant tourist resorts.
  • D. Skopelos
    Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
  • E. Karpathos
    Karpathos is a Greek island in the southeastern Aegean Sea known for its rugged mountains, traditional villages, and clear, windswept beaches popular with windsurfers.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:14 a.m.