Triple
T14504806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrovo Province |
E340236
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Sevlievo |
E1102054
|
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: Sevlievo | Statement: [Gabrovo Province, hasTown, Sevlievo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevlievo Context triple: [Gabrovo Province, hasTown, Sevlievo]
-
A.
Sevlievo
chosen
Sevlievo is a Bulgarian town known for its historical heritage, traditional crafts, and location near the Balkan Mountains in the Gabrovo Province.
-
B.
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.
-
C.
Belitsa
Belitsa is a small town in southwestern Bulgaria known for its proximity to the Rila Mountains and the Dancing Bears Park sanctuary.
-
D.
Sliven
Sliven is a city in eastern Bulgaria known for its textile industry, historic role in Bulgarian national revival, and location near the eastern Balkan Mountains.
-
E.
Ivaylovgrad
Ivaylovgrad is a small town in southern Bulgaria known for its proximity to the Greek border, scenic river valley landscapes, and nearby archaeological and historical sites.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e25a2481908b8394e9a19f3b64 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aaeaf40819087fa0db989813e02 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:21 a.m.