Triple
T11374702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balchik |
E269435
|
entity |
| Predicate | hasNearbyResort |
P3449
|
FINISHED |
| Object |
Albena
Albena is a modern Black Sea coastal resort in northeastern Bulgaria, known for its long sandy beach, family-friendly hotels, and recreational facilities.
|
E922060
|
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: Albena | Statement: [Balchik, hasNearbyResort, Albena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albena Context triple: [Balchik, hasNearbyResort, Albena]
-
A.
Kvirila
Kvirila is a river in western Georgia that flows through the Imereti region before joining the Rioni River.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Byala
Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
-
D.
Pavlina
Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
-
E.
Dessislava
Dessislava was a medieval Bulgarian noblewoman and patron associated with the commissioning and decoration of the Boyana Church near Sofia.
- 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: Albena Triple: [Balchik, hasNearbyResort, Albena]
Generated description
Albena is a modern Black Sea coastal resort in northeastern Bulgaria, known for its long sandy beach, family-friendly hotels, and recreational facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albena Target entity description: Albena is a modern Black Sea coastal resort in northeastern Bulgaria, known for its long sandy beach, family-friendly hotels, and recreational facilities.
-
A.
Kvirila
Kvirila is a river in western Georgia that flows through the Imereti region before joining the Rioni River.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Byala
Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
-
D.
Pavlina
Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
-
E.
Dessislava
Dessislava was a medieval Bulgarian noblewoman and patron associated with the commissioning and decoration of the Boyana Church near Sofia.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8d244c8190b865260338edb532 |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568e3e108190ab843236b417f150 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.