Triple

T22025220
Position Surface form Disambiguated ID Type / Status
Subject TRIZT E543941 entity
Predicate codeFor P3746 FINISHED
Object Port of İzmit 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: Port of İzmit | Statement: [TRIZT, codeFor, Port of İzmit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of İzmit
Context triple: [TRIZT, codeFor, 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 Samsun
    The Port of Samsun is a major Black Sea maritime hub in northern Turkey, serving as an important center for regional trade, logistics, and transportation.
  • C. Port of İzmir
    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.
  • D. 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.
  • E. 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.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.