Triple

T4718214
Position Surface form Disambiguated ID Type / Status
Subject Greek islands E104699 entity
Predicate hasPart P35 FINISHED
Object Aegina E36754 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: Aegina | Statement: [Greek islands, hasPart, Aegina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aegina
Context triple: [Greek islands, hasPart, Aegina]
  • A. Aegina chosen
    Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
  • B. Syros
    Syros is a Greek island in the Cyclades known for its historic neoclassical architecture, vibrant port town of Ermoupoli, and role as an administrative and cultural center in the Aegean.
  • C. Serifos
    Serifos is a small, rugged Greek island in the western Cyclades known for its traditional whitewashed villages, scenic beaches, and relatively low-key, authentic atmosphere.
  • D. Chios
    Chios is a Greek island in the eastern Aegean Sea, known for its medieval villages, mastic production, and rich maritime history.
  • E. Amorgos
    Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed 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_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_69bfbd56f4c081909ebc19bfc91aa5d2 completed March 22, 2026, 9:58 a.m.
Created at: March 20, 2026, 1:18 p.m.