Triple
T13975353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yablonovy Range |
E336173
|
entity |
| Predicate | highestPointName |
P210
|
FINISHED |
| Object |
Kontalaksky Golets
Kontalaksky Golets is a prominent mountain peak in eastern Siberia, Russia, known as the highest summit of the Yablonovy Range.
|
E1072689
|
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: Kontalaksky Golets | Statement: [Yablonovy Range, highestPointName, Kontalaksky Golets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kontalaksky Golets Context triple: [Yablonovy Range, highestPointName, Kontalaksky Golets]
-
A.
Krasnyi Luch
Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
-
B.
Dinamo
Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
-
C.
Dinamo
Dinamo is a Romanian professional football club based in Bucharest, known for its rich history and passionate fan base.
-
D.
Dinamo
Dinamo is a professional football club based in Tirana, Albania, known for its historic success in the Albanian football league.
-
E.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
- 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: Kontalaksky Golets Triple: [Yablonovy Range, highestPointName, Kontalaksky Golets]
Generated description
Kontalaksky Golets is a prominent mountain peak in eastern Siberia, Russia, known as the highest summit of the Yablonovy Range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kontalaksky Golets Target entity description: Kontalaksky Golets is a prominent mountain peak in eastern Siberia, Russia, known as the highest summit of the Yablonovy Range.
-
A.
Krasnyi Luch
Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
-
B.
Dinamo
Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
-
C.
Dinamo
Dinamo is a Romanian professional football club based in Bucharest, known for its rich history and passionate fan base.
-
D.
Dinamo
Dinamo is a professional football club based in Tirana, Albania, known for its historic success in the Albanian football league.
-
E.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e90dc148190b38e339aac0de484 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e1eb108190b3c0739b94556172 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5bff3b88190b5fcf3834e419b72 |
completed | May 6, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba9af1e0c81908d4013410e76535a |
completed | May 6, 2026, 8:50 p.m. |
Created at: April 9, 2026, 10:18 p.m.