Triple

T1068214
Position Surface form Disambiguated ID Type / Status
Subject Sea of Marmara E23262 entity
Predicate namedAfter P63 FINISHED
Object Marmara Island E132506 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: Marmara Island | Statement: [Sea of Marmara, namedAfter, Marmara Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara Island
Context triple: [Sea of Marmara, namedAfter, 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. 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. Avşa Island
    Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
  • E. Paşalimanı Island
    Paşalimanı Island is a small Turkish island in the Sea of Marmara known for its tranquil villages, olive groves, and relatively undeveloped, natural coastline.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b91389888190b4b96d7ee4dda206 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f23d04819099ad169adc9d1cb9 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:42 p.m.