Triple

T4718199
Position Surface form Disambiguated ID Type / Status
Subject Greek islands E104699 entity
Predicate hasPart P35 FINISHED
Object Paros E71680 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: Paros | Statement: [Greek islands, hasPart, Paros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paros
Context triple: [Greek islands, hasPart, Paros]
  • A. Paros chosen
    Paros is a popular Greek island in the central Aegean known for its traditional Cycladic villages, beaches, and marble quarries.
  • B. Skopelos
    Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
  • C. Mykonos
    Mykonos is a popular Greek island in the Cyclades known for its whitewashed architecture, vibrant nightlife, and picturesque beaches.
  • D. Antiparos
    Antiparos is a small Greek island in the central Aegean Sea, known for its picturesque Cycladic village, beaches, and famous cave with impressive stalactites.
  • E. Tinos
    Tinos is a Greek island in the Cyclades renowned for its important Orthodox pilgrimage site, traditional villages, and marble craftsmanship.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64261af08190b0d5d86b0e7bacc0 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf91e444b081909d97eebf04d7f380 completed March 22, 2026, 6:53 a.m.
Created at: March 20, 2026, 1:18 p.m.