Triple

T1453687
Position Surface form Disambiguated ID Type / Status
Subject Marmara Region E31349 entity
Predicate includesCity P3207 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: [Marmara Region, includesCity, Çanakkale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çanakkale
Context triple: [Marmara Region, includesCity, 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae515ce1b0819089603a3e0f6b1933 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 8 p.m.