Triple
T11264741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bălți |
E266653
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Beltsy
Beltsy is an alternative name for Bălți, a major city in northern Moldova known as an important economic and cultural center.
|
E914939
|
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: Beltsy | Statement: [Bălți, alternativeName, Beltsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beltsy Context triple: [Bălți, alternativeName, Beltsy]
-
A.
Debaltseve
Debaltseve is a strategically important railway and road junction city in eastern Ukraine’s Donetsk Oblast, known for being a major flashpoint in the war in Donbas.
-
B.
Petrapole
Petrapole is a major land border crossing and trade gateway between India and Bangladesh, located in West Bengal’s North 24 Parganas district.
-
C.
Monastyryshche
Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
D.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
E.
Babruysk
Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
- 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: Beltsy Triple: [Bălți, alternativeName, Beltsy]
Generated description
Beltsy is an alternative name for Bălți, a major city in northern Moldova known as an important economic and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beltsy Target entity description: Beltsy is an alternative name for Bălți, a major city in northern Moldova known as an important economic and cultural center.
-
A.
Debaltseve
Debaltseve is a strategically important railway and road junction city in eastern Ukraine’s Donetsk Oblast, known for being a major flashpoint in the war in Donbas.
-
B.
Petrapole
Petrapole is a major land border crossing and trade gateway between India and Bangladesh, located in West Bengal’s North 24 Parganas district.
-
C.
Monastyryshche
Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
D.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
E.
Babruysk
Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccc7fdc48190a84b8b584f67b464 |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ed6a048190ae7476d44cee6a6e |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddb1b4c8819087699bc73610c7f8 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.