Triple

T8015281
Position Surface form Disambiguated ID Type / Status
Subject Giresun E186597 entity
Predicate locatedNear P294 FINISHED
Object Giresun Island E717785 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: Giresun Island | Statement: [Giresun, locatedNear, Giresun Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giresun Island
Context triple: [Giresun, locatedNear, Giresun Island]
  • A. Giresun Island chosen
    Giresun Island is a small Black Sea island off the coast of Giresun, Turkey, known for its historical ruins, mythological associations, and natural beauty.
  • B. İmralı Island
    İmralı Island is a small Turkish island in the Sea of Marmara best known as a high-security prison island, notably housing Abdullah Öcalan.
  • C. Gezira Island
    Gezira Island is a large Nile island in central Cairo known for its upscale Zamalek district, cultural venues, and landmarks such as the Cairo Tower.
  • D. Marmara Island
    Marmara Island is a large, historically significant island in northwestern Turkey known for its marble quarries and location in the Sea of Marmara between the Aegean and Black Seas.
  • E. Avşa Island
    Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df24e4c8190ae1c46e97e54787d completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33f9074c8190aeefc7f5283017e9 completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:20 p.m.