Triple

T6507983
Position Surface form Disambiguated ID Type / Status
Subject Halki Seminary E150058 entity
Predicate locatedOn P40 FINISHED
Object Halki Island E465667 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: Halki Island | Statement: [Halki Seminary, locatedOn, Halki Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halki Island
Context triple: [Halki Seminary, locatedOn, Halki Island]
  • A. Halki chosen
    Halki is a small, tranquil Greek island in the Dodecanese known for its picturesque harbor, neoclassical houses, and unspoiled beaches.
  • B. Avşa Island
    Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
  • C. Suursaari
    Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
  • D. Cezi Island
    Cezi Island is one of the principal islands in China’s Zhoushan Archipelago, known for its coastal scenery and maritime activities in the East China Sea.
  • E. Margaret Island
    Margaret Island is a tranquil, park-filled island in the middle of the Danube River in Budapest, known for its recreational facilities, historic ruins, and scenic promenades.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c699693d94819088e8adff364e834a completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb519b8081908db92ab57ad6e871 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.