Triple
T12354326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyustendil Province |
E294568
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Sapareva Banya
Sapareva Banya is a Bulgarian spa town renowned for its hot mineral springs and the hottest geyser in continental Europe.
|
E988607
|
NE FINISHED |
How this triple was built (4 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: Sapareva Banya | Statement: [Kyustendil Province, hasTown, Sapareva Banya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapareva Banya Context triple: [Kyustendil Province, hasTown, Sapareva Banya]
-
A.
Bansko
Bansko is a Bulgarian mountain town renowned as one of Eastern Europe’s leading ski and winter sports resorts.
-
B.
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.
-
C.
Svishtov
Svishtov is a town in northern Bulgaria on the Danube River, known for its historical significance, including proximity to the ancient Roman military site of Novae.
-
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.
Kazanlak
Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sapareva Banya Triple: [Kyustendil Province, hasTown, Sapareva Banya]
Generated description
Sapareva Banya is a Bulgarian spa town renowned for its hot mineral springs and the hottest geyser in continental Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sapareva Banya Target entity description: Sapareva Banya is a Bulgarian spa town renowned for its hot mineral springs and the hottest geyser in continental Europe.
-
A.
Bansko
Bansko is a Bulgarian mountain town renowned as one of Eastern Europe’s leading ski and winter sports resorts.
-
B.
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.
-
C.
Svishtov
Svishtov is a town in northern Bulgaria on the Danube River, known for its historical significance, including proximity to the ancient Roman military site of Novae.
-
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.
Kazanlak
Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
- F. None of above. chosen
Provenance (5 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655608a0c81908002f9d79d017ded |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aec8fc8190b3b08ccb95595958 |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:54 p.m.