Triple

T2472512
Position Surface form Disambiguated ID Type / Status
Subject Kadıköy E55009 entity
Predicate contains P35 FINISHED
Object Kadıköy Ferry Terminal E270571 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: Kadıköy Ferry Terminal | Statement: [Kadıköy, contains, Kadıköy Ferry Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadıköy Ferry Terminal
Context triple: [Kadıköy, contains, Kadıköy Ferry Terminal]
  • A. Kadıköy Pier chosen
    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.
  • 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 İzmit
    The Port of İzmit is a key Turkish maritime hub and industrial gateway located on the Gulf of İzmit along the Sea of Marmara.
  • D. Haydarpaşa Railway Station
    Haydarpaşa Railway Station is a historic waterfront terminus in Istanbul renowned for its grand neo-classical architecture and its former role as a major rail gateway between Europe and Asia.
  • 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 (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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd138872481908184e06d3584718e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f86a1bc8190af02a1109ccf0773 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.