Triple
T18181627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deve Bair Pass |
E435298
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | Kyustendil |
—
|
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: Kyustendil | Statement: [Deve Bair Pass, hasRoadConnection, Kyustendil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyustendil Context triple: [Deve Bair Pass, hasRoadConnection, Kyustendil]
-
A.
Kyustendil
chosen
Kyustendil is a historic town and spa resort in western Bulgaria, known for its mineral springs, Roman and medieval heritage, and proximity to the Osogovo Mountains.
-
B.
Vratsa
Vratsa is a city in northwestern Bulgaria known as an industrial and cultural center near the Balkan Mountains.
-
C.
Dobrinishte
Dobrinishte is a small Bulgarian mountain town and spa resort in the Pirin Mountains, known for its mineral springs and as a gateway to hiking and skiing areas.
-
D.
Butovo
Butovo is a residential district in the southern part of Moscow, Russia, known for its large housing estates and rapid post-Soviet urban development.
-
E.
Blagoevgrad
Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffb3bc88190a627be9c444d5c7d |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.