Triple

T13211399
Position Surface form Disambiguated ID Type / Status
Subject Turkish coast E314500 entity
Predicate hasPort P35 FINISHED
Object Port of İzmir E696158 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: Port of İzmir | Statement: [Turkish coast, hasPort, Port of İzmir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of İzmir
Context triple: [Turkish coast, hasPort, Port of İzmir]
  • A. Port of İzmir chosen
    The Port of İzmir is one of Turkey’s major Aegean seaports, serving as a key hub for regional trade, container shipping, and passenger traffic.
  • B. Port of İzmit
    The Port of İzmit is a key Turkish maritime hub and industrial gateway located on the Gulf of İzmit along the Sea of Marmara.
  • C. Port of Bandırma
    The Port of Bandırma is a significant Turkish maritime hub and industrial gateway located on the southern coast of the Sea of Marmara, serving both cargo and passenger traffic.
  • D. Port of Gemlik
    The Port of Gemlik is a significant Turkish maritime hub on the Sea of Marmara, known especially for its role in container, automotive, and general cargo trade.
  • E. Haydarpaşa Port
    Haydarpaşa Port is a major seaport and cargo terminal on the Asian side of Istanbul, serving as an important hub for maritime trade and transport in the region.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.