Triple
T3449636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzyarzhynskaya Hara |
E72761
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
|
E391527
|
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: Dzyarzhynsk | Statement: [Dzyarzhynskaya Hara, locatedNear, Dzyarzhynsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dzyarzhynsk Context triple: [Dzyarzhynskaya Hara, locatedNear, Dzyarzhynsk]
-
A.
Dzerzhinsk
Dzerzhinsk is a major industrial city in western Russia known for its large chemical manufacturing sector and associated environmental issues.
-
B.
Berdichev
Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
-
C.
Yurievichi
Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
-
D.
Babruysk
Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
-
E.
Vishnevo
Vishnevo is a village historically located in the former Second Polish Republic, known today as Wiszniew and situated in present-day Belarus.
- 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: Dzyarzhynsk Triple: [Dzyarzhynskaya Hara, locatedNear, Dzyarzhynsk]
Generated description
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dzyarzhynsk Target entity description: Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
A.
Dzerzhinsk
Dzerzhinsk is a major industrial city in western Russia known for its large chemical manufacturing sector and associated environmental issues.
-
B.
Berdichev
Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
-
C.
Yurievichi
Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
-
D.
Babruysk
Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
-
E.
Vishnevo
Vishnevo is a village historically located in the former Second Polish Republic, known today as Wiszniew and situated in present-day Belarus.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4faec5fc4819090c8f55b819d436c |
completed | March 14, 2026, 6:06 a.m. |
| NEDg | Description generation | batch_69b4fc7abfb481908f563e17e6e57a4e |
completed | March 14, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fce0a6a88190be19941a70caebdc |
completed | March 14, 2026, 6:14 a.m. |
Created at: March 8, 2026, 3:16 p.m.