Triple
T12808259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Ust-Nera |
E306200
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object |
Ust-Nera
Ust-Nera is a remote urban-type settlement in northeastern Russia’s Sakha Republic, known for its extremely cold climate and role as a regional mining and transport hub in the upper Indigirka River basin.
|
E1050664
|
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: Ust-Nera | Statement: [Asia/Ust-Nera, namedFor, Ust-Nera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ust-Nera Context triple: [Asia/Ust-Nera, namedFor, Ust-Nera]
-
A.
Verkhorechye
Verkhorechye is a small settlement located near the Alma River, likely in the Crimean region of Eastern Europe.
-
B.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Ust-Sheksna
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
-
E.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
- 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: Ust-Nera Triple: [Asia/Ust-Nera, namedFor, Ust-Nera]
Generated description
Ust-Nera is a remote urban-type settlement in northeastern Russia’s Sakha Republic, known for its extremely cold climate and role as a regional mining and transport hub in the upper Indigirka River basin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ust-Nera Target entity description: Ust-Nera is a remote urban-type settlement in northeastern Russia’s Sakha Republic, known for its extremely cold climate and role as a regional mining and transport hub in the upper Indigirka River basin.
-
A.
Verkhorechye
Verkhorechye is a small settlement located near the Alma River, likely in the Crimean region of Eastern Europe.
-
B.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Ust-Sheksna
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
-
E.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e808130819080f404b3a7462c2e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f72e950819082326a8f84a8a260 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f780ccf5948190b374514370f910f4 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7815a858c8190a9ae47012d04f8e1 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 5:31 p.m.