Triple

T5746038
Position Surface form Disambiguated ID Type / Status
Subject Port of İzmit E126734 entity
Predicate locatedNear P294 FINISHED
Object Gebze E216981 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: Gebze | Statement: [Port of İzmit, locatedNear, Gebze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gebze
Context triple: [Port of İzmit, locatedNear, Gebze]
  • A. Gebze chosen
    Gebze is an industrial city in Turkey’s Kocaeli Province, located east of Istanbul and known as a major manufacturing and logistics hub in the Marmara region.
  • B. Halkalı
    Halkalı is a western district of Istanbul, Turkey, known as a major residential area and transport hub featuring significant rail and road connections.
  • C. Seydişehir
    Seydişehir is a town and district in central Turkey known for its aluminum industry and location within Konya Province.
  • D. Ereğli
    Ereğli is a district and town in central Turkey known for its agricultural production and location within Konya Province on the Central Anatolian plateau.
  • E. Ataşehir
    Ataşehir is a modern residential and business district on the Asian side of Istanbul, known for its high-rise developments and financial centers.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025896378819085f0bd43bf34f497 completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2c54c0819087ab79ae855b9677 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.