Triple

T22620213
Position Surface form Disambiguated ID Type / Status
Subject Topağaç E558254 entity
Predicate locatedIn P40 FINISHED
Object Marmara Island NE NERFINISHED

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: Marmara Island | Statement: [Topağaç, locatedIn, Marmara Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara Island
Context triple: [Topağaç, locatedIn, Marmara Island]
  • A. Marmara Island chosen
    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.
  • 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. Giresun Island
    Giresun Island is a small Black Sea island off the coast of Giresun, Turkey, known for its historical ruins, mythological associations, and natural beauty.
  • D. Sedef Adası
    Sedef Adası is a small, privately developed island in the Sea of Marmara near Istanbul, known for its tranquil beaches and restricted access compared to the other Princes' Islands.
  • E. Büyükada
    Büyükada is the largest and most popular of Istanbul’s Princes' Islands, known for its historic wooden mansions, car-free streets, and seaside promenades.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.