Triple

T1024735
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück E22113 entity
Predicate twinCity P1072 FINISHED
Object Çanakkale E161750 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: Çanakkale | Statement: [Osnabrück, twinCity, Çanakkale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çanakkale
Context triple: [Osnabrück, twinCity, Çanakkale]
  • A. Çanakkale Province chosen
    Çanakkale Province is a northwestern Turkish province of major historical and strategic importance, encompassing the Gallipoli Peninsula and controlling the Dardanelles strait between the Aegean Sea and the Sea of Marmara.
  • B. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • C. Izmir
    Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
  • D. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • E. Ardahan
    Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08995af88190930a952bd32cd918 completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:41 p.m.