Triple

T5218026
Position Surface form Disambiguated ID Type / Status
Subject İzmit E117800 entity
Predicate hasPort P35 FINISHED
Object Port of İzmit E126734 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 İzmit | Statement: [İzmit, hasPort, Port of İzmit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of İzmit
Context triple: [İzmit, hasPort, Port of İzmit]
  • A. Port of İzmit chosen
    The Port of İzmit is a key Turkish maritime hub and industrial gateway located on the Gulf of İzmit along the Sea of Marmara.
  • B. 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.
  • C. 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.
  • D. Karşıyaka İskele
    Karşıyaka İskele is a tram stop on the Karşıyaka line of İzmir’s modern Tram İzmir light rail system, serving the coastal Karşıyaka district.
  • E. Kadıköy Pier
    Kadıköy Pier is a historic and busy ferry terminal on Istanbul’s Asian side, serving as a major hub for maritime transport across the Bosphorus.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.