Triple

T22042031
Position Surface form Disambiguated ID Type / Status
Subject 1957 Abant earthquake E544658 entity
Predicate affectedRegion P1586 FINISHED
Object Bolu Province NE NERFINISHED

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: [1957 Abant earthquake, affectedRegion, Bolu Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolu Province
Context triple: [1957 Abant earthquake, affectedRegion, Bolu Province]
  • A. Bolu Province chosen
    Bolu Province is a region in northwestern Turkey known for its forested mountains, lakes, and natural parks.
  • B. Bolu
    Bolu is a city in northwestern Turkey known for its forested mountains, natural beauty, and role as the capital of Bolu Province.
  • C. 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.
  • D. 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.
  • E. Karabük Province
    Karabük Province is an administrative region in northern Turkey known for its industrial city of Karabük and the nearby UNESCO-listed historic town of Safranbolu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12829c1c081909edc7544242c9c7a completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.