Triple

T16172481
Position Surface form Disambiguated ID Type / Status
Subject Üsküdar ferry docks E392472 entity
Predicate operatedBy P86 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: [Üsküdar ferry docks, operatedBy, Şehir Hatları]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şehir Hatları
Context triple: [Üsküdar ferry docks, operatedBy, 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. Ankara city bus network
    The Ankara city bus network is the primary urban bus system serving Turkey’s capital, connecting neighborhoods, landmarks, and suburbs through an extensive network of routes.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.