Triple

T14960355
Position Surface form Disambiguated ID Type / Status
Subject Cyclades regional unit E373045 entity
Predicate contains P35 FINISHED
Object Donousa E1094897 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: Donousa | Statement: [Cyclades regional unit, contains, Donousa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donousa
Context triple: [Cyclades regional unit, contains, Donousa]
  • A. Donousa chosen
    Donousa is a small, remote Greek island in the Aegean Sea known for its tranquil beaches, clear waters, and traditional Cycladic charm.
  • B. Temnos
    Temnos was an ancient Greek city of Aeolis in western Asia Minor, known from classical antiquity.
  • C. Amorgos
    Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
  • D. Melos
    Melos is a Greek island in the Aegean Sea, renowned in art history as the discovery site of the famous ancient statue Venus de Milo.
  • E. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cece6881908cd8c8fe41583bee completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a8b3708190be7c35a05fd08a52 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:40 a.m.