Triple
T21844612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shumen |
E539342
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Ludogorie |
—
|
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: Ludogorie | Statement: [Shumen, historicalRegion, Ludogorie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludogorie Context triple: [Shumen, historicalRegion, Ludogorie]
-
A.
Ludogorie region
chosen
The Ludogorie region is a historical and geographical area in northeastern Bulgaria known for its rolling plateaus, mixed forests, and rich archaeological heritage.
-
B.
Botevgrad
Botevgrad is a town in western Bulgaria named in honor of the national revolutionary and poet Hristo Botev.
-
C.
Reutov
Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
-
D.
Sevlievo
Sevlievo is a Bulgarian town known for its historical heritage, traditional crafts, and location near the Balkan Mountains in the Gabrovo Province.
-
E.
Vizela
Vizela is a Portuguese professional football club that competes in the country's top-tier league system.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5248f08190ba208512eafbe7ad |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.