Triple
T14090763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snezhnaya River |
E339123
|
entity |
| Predicate | hasNameTransliteration |
P5923
|
FINISHED |
| Object |
Snezhnaya
Snezhnaya is a river in Siberia, Russia, known for flowing through remote mountainous terrain before joining Lake Baikal.
|
E1084074
|
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: Snezhnaya | Statement: [Snezhnaya River, hasNameTransliteration, Snezhnaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snezhnaya Context triple: [Snezhnaya River, hasNameTransliteration, Snezhnaya]
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
E.
Olkhovaya
Olkhovaya is a station on the Moscow Metro system, located near Prokshino on the same line.
- 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: Snezhnaya Triple: [Snezhnaya River, hasNameTransliteration, Snezhnaya]
Generated description
Snezhnaya is a river in Siberia, Russia, known for flowing through remote mountainous terrain before joining Lake Baikal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snezhnaya Target entity description: Snezhnaya is a river in Siberia, Russia, known for flowing through remote mountainous terrain before joining Lake Baikal.
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
E.
Olkhovaya
Olkhovaya is a station on the Moscow Metro system, located near Prokshino on the same line.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7dc62b081909f3c9259295064cf |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd066f900c8190a4e2674a25a6f510 |
completed | May 7, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd06e35174819098c33a741f1581fc |
completed | May 7, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:21 p.m.