Triple
T571173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarus |
E13665
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
|
E72761
|
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: Dzyarzhynskaya Hara | Statement: [Belarus, highestPoint, Dzyarzhynskaya Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dzyarzhynskaya Hara Context triple: [Belarus, highestPoint, Dzyarzhynskaya Hara]
-
A.
Vyshny Volochyok
Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
-
B.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
C.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
D.
Valdai Hills
Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
-
E.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
- 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: Dzyarzhynskaya Hara Triple: [Belarus, highestPoint, Dzyarzhynskaya Hara]
Generated description
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dzyarzhynskaya Hara Target entity description: Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
-
A.
Vyshny Volochyok
Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
-
B.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
C.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
D.
Valdai Hills
Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
-
E.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089de648819097efdaa016aa33d2 |
completed | March 2, 2026, 3:48 a.m. |
| NEDg | Description generation | batch_69a5096f59708190837cb90cc138765d |
completed | March 2, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a509e5f4248190bf0ac6545e200978 |
completed | March 2, 2026, 3:54 a.m. |
Created at: March 1, 2026, 7:33 p.m.