Triple

T22025139
Position Surface form Disambiguated ID Type / Status
Subject Turkish railway network E543939 entity
Predicate connectsPort P845 FINISHED
Object Port of Mersin 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 Mersin | Statement: [Turkish railway network, connectsPort, Port of Mersin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Mersin
Context triple: [Turkish railway network, connectsPort, Port of Mersin]
  • A. Port of Mersin chosen
    The Port of Mersin is one of Turkey’s largest and busiest seaports, serving as a major commercial and container hub on the Mediterranean.
  • 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. İskenderun Port
    İskenderun Port is a major commercial seaport on Turkey’s eastern Mediterranean coast, serving as a key hub for regional trade and industry.
  • D. 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.
  • E. 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.
  • 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_69f127ca45a08190b2d5d3a8eb37cb4b completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.