Triple

T8736263
Position Surface form Disambiguated ID Type / Status
Subject Akçakoca E207390 entity
Predicate administrativeDivisionOf P747 FINISHED
Object Düzce Province E792281 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: Düzce Province | Statement: [Akçakoca, administrativeDivisionOf, Düzce Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düzce Province
Context triple: [Akçakoca, administrativeDivisionOf, Düzce Province]
  • A. Düzce Province chosen
    Düzce Province is a region in northwestern Turkey along the Black Sea coast, known for its forests, waterfalls, and rapidly developing urban center of Düzce.
  • B. Bilecik Province
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • C. Çorum Province
    Çorum Province is a region in north-central Turkey known for its rich Hittite archaeological heritage, including the ancient capital Hattusa at Boğazköy.
  • D. Çankırı Province
    Çankırı Province is a landlocked administrative region in north-central Turkey known for its mountainous terrain, historical sites, and traditional salt mines.
  • E. Tokat Province
    Tokat Province is a region in north-central Turkey known for its rich history dating back to ancient Pontus, its agricultural production, and its well-preserved Ottoman-era architecture.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d44275881909f7eb40b24180294 completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a931988190aaff56f16057ea90 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 6:38 p.m.