Triple

T9055354
Position Surface form Disambiguated ID Type / Status
Subject Gebze E216981 entity
Predicate region P40 FINISHED
Object Marmara E23262 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 | Statement: [Gebze, region, Marmara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmara
Context triple: [Gebze, region, Marmara]
  • A. Marmara
    Marmara is a small island town and district in Turkey’s Balıkesir Province, located in the Sea of Marmara and known for its maritime character and tourism.
  • B. Sea of Marmara chosen
    The Sea of Marmara is an inland sea in Turkey that separates the country's European and Asian parts and links the Black Sea to the Aegean and Mediterranean via the Bosporus and Dardanelles straits.
  • C. Bosporus
    The Bosporus is a narrow, strategically vital strait in Turkey that separates Europe from Asia and links the Black Sea to the Sea of Marmara.
  • D. Thracian Sea
    The Thracian Sea is the northernmost part of the Aegean Sea, located between northeastern Greece and northwestern Turkey and known for its historical significance in ancient Thrace.
  • E. Gulf of Antalya
    The Gulf of Antalya is a large inlet of the Mediterranean Sea along Turkey’s southern coast, known for its warm waters, beaches, and role as a major hub of tourism around the city of Antalya.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.