Triple

T21317008
Position Surface form Disambiguated ID Type / Status
Subject İskenderun E525497 entity
Predicate hasPort P35 FINISHED
Object İskenderun Port 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: İskenderun Port | Statement: [İskenderun, hasPort, İskenderun Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İskenderun Port
Context triple: [İskenderun, hasPort, İskenderun Port]
  • A. İskenderun Port chosen
    İskenderun Port is a major commercial seaport on Turkey’s eastern Mediterranean coast, serving as a key hub for regional trade and industry.
  • B. Port of Mersin
    The Port of Mersin is one of Turkey’s largest and busiest seaports, serving as a major commercial and container hub on the Mediterranean.
  • C. Aliağa Port
    Aliağa Port is a major industrial and commercial seaport on Turkey’s Aegean coast, serving petrochemical plants, refineries, and bulk cargo operations.
  • 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. Ambarlı Port
    Ambarlı Port is a major container and cargo seaport complex on the Sea of Marmara serving as one of Istanbul and Turkey’s key maritime trade hubs.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:34 p.m.