Triple
T3449640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzyarzhynskaya Hara |
E72761
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Holy Hill
Holy Hill is the former name of Dzyarzhynskaya Hara, the highest natural point in Belarus.
|
E358184
|
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: Holy Hill | Statement: [Dzyarzhynskaya Hara, formerName, Holy Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Hill Context triple: [Dzyarzhynskaya Hara, formerName, Holy Hill]
-
A.
San Giusto Hill
San Giusto Hill is a historic elevation in Trieste, Italy, known for its medieval castle, cathedral, and panoramic views over the city and Gulf of Trieste.
-
B.
Cathedral Hill
Cathedral Hill is a historic neighborhood in Saint Paul, Minnesota, known for its grand architecture, including the prominent Cathedral of Saint Paul, and its role as a cultural and residential center of the city.
-
C.
Rocky Hill
Rocky Hill is a suburban town in central Connecticut that forms part of the Greater Hartford metropolitan area.
-
D.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Stony Hill
Stony Hill is a suburban community in the hills north of Kingston, Jamaica, known for its cooler climate and residential character.
- 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: Holy Hill Triple: [Dzyarzhynskaya Hara, formerName, Holy Hill]
Generated description
Holy Hill is the former name of Dzyarzhynskaya Hara, the highest natural point in Belarus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holy Hill Target entity description: Holy Hill is the former name of Dzyarzhynskaya Hara, the highest natural point in Belarus.
-
A.
San Giusto Hill
San Giusto Hill is a historic elevation in Trieste, Italy, known for its medieval castle, cathedral, and panoramic views over the city and Gulf of Trieste.
-
B.
Cathedral Hill
Cathedral Hill is a historic neighborhood in Saint Paul, Minnesota, known for its grand architecture, including the prominent Cathedral of Saint Paul, and its role as a cultural and residential center of the city.
-
C.
Rocky Hill
Rocky Hill is a suburban town in central Connecticut that forms part of the Greater Hartford metropolitan area.
-
D.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Stony Hill
Stony Hill is a suburban community in the hills north of Kingston, Jamaica, known for its cooler climate and residential character.
- 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_69b360eb7ad08190865e62228365d530 |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b3616dec3881908a54fa6500f7efb0 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36211b6b08190ac0cac646160495d |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:16 p.m.