Triple

T17102581
Position Surface form Disambiguated ID Type / Status
Subject Lünen E415014 entity
Predicate hasTwinTown P919 FINISHED
Object Nazilli, Turkey E383227 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: Nazilli, Turkey | Statement: [Lünen, hasTwinTown, Nazilli, Turkey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazilli, Turkey
Context triple: [Lünen, hasTwinTown, Nazilli, Turkey]
  • A. Nazilli chosen
    Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
  • B. Istanbul
    Istanbul is a major Ethereum network upgrade that introduced performance improvements, reduced gas costs for certain operations, and enhanced the platform’s overall scalability and security.
  • C. Istanbul
    Istanbul is a transcontinental metropolis straddling Europe and Asia, renowned as Turkey’s cultural and economic hub and for its rich history as the former capital of the Byzantine and Ottoman Empires.
  • D. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • E. Havsa
    Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2495c88190b5b16a006a994faf completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016741fe6c81908ebbb022749915ab completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:35 a.m.