Triple
T2744195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rila Monastery |
E60826
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Rila town
Rila town is a small settlement in southwestern Bulgaria that serves as the gateway to the historic Rila Monastery and the surrounding Rila Mountains.
|
E294578
|
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: Rila town | Statement: [Rila Monastery, locatedNear, Rila town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rila town Context triple: [Rila Monastery, locatedNear, Rila town]
-
A.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
B.
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.
-
C.
Bansko
Bansko is a Bulgarian mountain town renowned as one of Eastern Europe’s leading ski and winter sports resorts.
-
D.
Pliska
Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
-
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. 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: Rila town Triple: [Rila Monastery, locatedNear, Rila town]
Generated description
Rila town is a small settlement in southwestern Bulgaria that serves as the gateway to the historic Rila Monastery and the surrounding Rila Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rila town Target entity description: Rila town is a small settlement in southwestern Bulgaria that serves as the gateway to the historic Rila Monastery and the surrounding Rila Mountains.
-
A.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
B.
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.
-
C.
Bansko
Bansko is a Bulgarian mountain town renowned as one of Eastern Europe’s leading ski and winter sports resorts.
-
D.
Pliska
Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
-
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. 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb32ef74819096ae399d16d4f31d |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcebe788190aa2b40158b64b7b2 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbceb981c819095038ac01d98fb45 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd5e28f481909d82e42c33e4ef86 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:56 p.m.