Triple

T9815459
Position Surface form Disambiguated ID Type / Status
Subject Sakarya Province E238390 entity
Predicate adjacentToProvince P62207 FINISHED
Object Bolu Province E359609 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: Bolu Province | Statement: [Sakarya Province, adjacentToProvince, Bolu Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolu Province
Context triple: [Sakarya Province, adjacentToProvince, Bolu Province]
  • A. Bolu Province chosen
    Bolu Province is a region in northwestern Turkey known for its forested mountains, lakes, and natural parks.
  • B. 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.
  • C. Düzce Province
    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.
  • D. Bilecik Province
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • E. Uşak Province
    Uşak Province is an inland administrative region of western Turkey known for its textile industry, historical sites, and location within the country’s Aegean area.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de21a949508190ad16b061ead5ed24 completed April 14, 2026, 11:14 a.m.
Created at: March 30, 2026, 8:30 p.m.