Triple
T11364013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobrich |
E269156
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Dobrotitsa
Dobrotitsa was a 14th-century Bulgarian despot of the Principality of Karvuna, known for his rule over the Black Sea coastal region of modern-day northeastern Bulgaria.
|
E921505
|
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: Dobrotitsa | Statement: [Dobrich, namedAfter, Dobrotitsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobrotitsa Context triple: [Dobrich, namedAfter, Dobrotitsa]
-
A.
Dobrota
Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
-
B.
Dobrada
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
-
C.
Kivalliq
Kivalliq is a region in Nunavut, Canada, known for its Inuit communities, Arctic tundra landscapes, and traditional hunting and fishing culture.
-
D.
Luchistoye
Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
-
E.
Sadovnichiy
Sadovnichiy is the surname of Viktor Sadovnichiy, a prominent Russian mathematician and long-serving rector of Moscow State University.
- 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: Dobrotitsa Triple: [Dobrich, namedAfter, Dobrotitsa]
Generated description
Dobrotitsa was a 14th-century Bulgarian despot of the Principality of Karvuna, known for his rule over the Black Sea coastal region of modern-day northeastern Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dobrotitsa Target entity description: Dobrotitsa was a 14th-century Bulgarian despot of the Principality of Karvuna, known for his rule over the Black Sea coastal region of modern-day northeastern Bulgaria.
-
A.
Dobrota
Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
-
B.
Dobrada
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
-
C.
Kivalliq
Kivalliq is a region in Nunavut, Canada, known for its Inuit communities, Arctic tundra landscapes, and traditional hunting and fishing culture.
-
D.
Luchistoye
Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
-
E.
Sadovnichiy
Sadovnichiy is the surname of Viktor Sadovnichiy, a prominent Russian mathematician and long-serving rector of Moscow State University.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea4589908190948a8225768e1eec |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5565df5508190aeda7d064bceb157 |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562c6e7c8819098d22a6e0daa4a51 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a472f0c819086c1cccaa5ca0ae7 |
completed | April 19, 2026, 11:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.