Triple
T8833218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgas Province |
E210197
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Primorsko
Primorsko is a Bulgarian Black Sea coastal town and resort known for its beaches and tourism, located in southeastern Bulgaria.
|
E759993
|
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: Primorsko | Statement: [Burgas Province, contains, Primorsko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primorsko Context triple: [Burgas Province, contains, Primorsko]
-
A.
Primorsk
Primorsk is a port town in northwestern Russia situated on the coast of the Gulf of Finland in Leningrad Oblast.
-
B.
Kraljevica
Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
-
C.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
-
D.
Dubrovno
Dubrovno is a small town in eastern Belarus, historically part of the Russian Empire and home to a significant Jewish community in the 19th and early 20th centuries.
-
E.
Novalja
Novalja is a coastal town on the Croatian island of Pag, known as a popular summer tourist destination with nearby Zrće Beach famous for its nightlife and music festivals.
- 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: Primorsko Triple: [Burgas Province, contains, Primorsko]
Generated description
Primorsko is a Bulgarian Black Sea coastal town and resort known for its beaches and tourism, located in southeastern Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Primorsko Target entity description: Primorsko is a Bulgarian Black Sea coastal town and resort known for its beaches and tourism, located in southeastern Bulgaria.
-
A.
Primorsk
Primorsk is a port town in northwestern Russia situated on the coast of the Gulf of Finland in Leningrad Oblast.
-
B.
Kraljevica
Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
-
C.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
-
D.
Dubrovno
Dubrovno is a small town in eastern Belarus, historically part of the Russian Empire and home to a significant Jewish community in the 19th and early 20th centuries.
-
E.
Novalja
Novalja is a coastal town on the Croatian island of Pag, known as a popular summer tourist destination with nearby Zrće Beach famous for its nightlife and music festivals.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60670fa48190b2a873f6498de7f6 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8975a6f481908ee435d0435c8ffb |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8a8e5db0819080e6fdc3d8322e94 |
completed | April 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:47 p.m.