Triple

T533582
Position Surface form Disambiguated ID Type / Status
Subject Aegean Sea E12277 entity
Predicate hasPart P35 FINISHED
Object Rhodes E19059 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: Rhodes | Statement: [Aegean Sea, hasPart, Rhodes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhodes
Context triple: [Aegean Sea, hasPart, Rhodes]
  • A. Rhodes chosen
    Rhodes is a historically significant Greek island in the eastern Aegean, renowned for its medieval Old Town, ancient ruins, and role as a major cultural and trading hub in the Mediterranean.
  • B. Samos
    Samos is a Greek island in the eastern Aegean Sea, historically significant as a center of Ionian culture and the birthplace of the philosopher Pythagoras.
  • C. Lesbos
    Lesbos is a large Greek island in the northeastern Aegean Sea, known for its rich ancient history, distinctive culture, and association with the poet Sappho.
  • D. Delos
    Delos is a sacred Aegean island revered in ancient Greek religion as the legendary birthplace of Apollo and Artemis and a major religious and commercial center.
  • E. Piraeus
    Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494e0ab1881909d0cea4dfaa34b0a completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5aec388190861b0ee100790c7a completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.