Triple
T22041979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 Bolu–Gerede earthquake |
E544657
|
entity |
| Predicate | regionAffected |
P1586
|
FINISHED |
| Object | Bolu |
—
|
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 | Statement: [1944 Bolu–Gerede earthquake, regionAffected, Bolu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolu Context triple: [1944 Bolu–Gerede earthquake, regionAffected, Bolu]
-
A.
Bolu
chosen
Bolu is a city in northwestern Turkey known for its forested mountains, natural beauty, and role as the capital of Bolu Province.
-
B.
Bolu Province
Bolu Province is a region in northwestern Turkey known for its forested mountains, lakes, and natural parks.
-
C.
Bartın
Bartın is a small city and provincial capital in northern Turkey, located near the Black Sea and known for its historic wooden houses and natural surroundings.
-
D.
Artvin Province
Artvin Province is a mountainous, forested region in northeastern Turkey along the Black Sea coast, known for its diverse ethnic heritage, including Laz communities, and its scenic valleys and rivers.
-
E.
Düzce
Düzce is a city in northwestern Turkey known for its location between Istanbul and Ankara and its proximity to the Black Sea.
- 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.