Triple

T11419143
Position Surface form Disambiguated ID Type / Status
Subject Kadıköy Pier E270571 entity
Predicate ownedBy P347 FINISHED
Object Şehir Hatları E639214 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: Şehir Hatları | Statement: [Kadıköy Pier, ownedBy, Şehir Hatları]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şehir Hatları
Context triple: [Kadıköy Pier, ownedBy, Şehir Hatları]
  • A. Şehir Hatları chosen
    Şehir Hatları is Istanbul’s main public ferry company, running iconic commuter and tourist boat services across the Bosphorus and surrounding waterways.
  • B. Ankara Metro
    Ankara Metro is the rapid transit system serving Turkey's capital city, providing urban rail transportation across Ankara and its surrounding districts.
  • C. Istanbul Metrobus
    Istanbul Metrobus is a bus rapid transit system in Istanbul that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
  • D. Istanbul Metro
    The Istanbul Metro is a rapid transit system serving Istanbul, Turkey, connecting key districts and transport hubs across the city.
  • E. Istanbul bus network
    The Istanbul bus network is the city’s extensive public transportation system of urban and suburban bus lines that connects neighborhoods across both the European and Asian sides and links with other modes such as metro, trams, and ferries.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.