Triple
T21328982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bureya River |
E525844
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object |
Novobureysky
Novobureysky is an urban-type settlement in Amur Oblast, Russia, situated near the confluence of the Bureya River.
|
E1479110
|
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: Novobureysky | Statement: [Bureya River, confluenceNear, Novobureysky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novobureysky Context triple: [Bureya River, confluenceNear, Novobureysky]
-
A.
Borovitskaya
Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
-
B.
Novoyasenevskaya
Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
-
C.
Kryukovo
Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
-
D.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
-
E.
Polezhayevskaya
Polezhayevskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the northwestern 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: Novobureysky Triple: [Bureya River, confluenceNear, Novobureysky]
Generated description
Novobureysky is an urban-type settlement in Amur Oblast, Russia, situated near the confluence of the Bureya River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novobureysky Target entity description: Novobureysky is an urban-type settlement in Amur Oblast, Russia, situated near the confluence of the Bureya River.
-
A.
Borovitskaya
Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
-
B.
Novoyasenevskaya
Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
-
C.
Kryukovo
Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
-
D.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
-
E.
Polezhayevskaya
Polezhayevskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the northwestern 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4f95fc819087eb32dca7da689a |
completed | April 21, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5bc6710819086935b80f3d669cd |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a6848c1c8190992ae7cdfeabdcf8 |
completed | May 17, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09aae23f2c81908f08d290277e22f9 |
completed | May 17, 2026, 11:47 a.m. |
Created at: April 16, 2026, 4:42 p.m.