Triple
T13063284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novosibirsk Reservoir |
E329251
|
entity |
| Predicate | hasShorelineSettlement |
P969
|
FINISHED |
| Object |
Kamen-na-Obi
Kamen-na-Obi is a town in Altai Krai, Russia, situated on the Ob River and known as a local industrial and transport center.
|
E1055943
|
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: Kamen-na-Obi | Statement: [Novosibirsk Reservoir, hasShorelineSettlement, Kamen-na-Obi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamen-na-Obi Context triple: [Novosibirsk Reservoir, hasShorelineSettlement, Kamen-na-Obi]
-
A.
Ogbadibo
Ogbadibo is a local government area in Benue State, Nigeria, predominantly inhabited by the Idoma people.
-
B.
Iwobi
Iwobi is the surname of Nigerian professional footballer Alex Iwobi, known for his attacking play in the Premier League and for the Nigeria national team.
-
C.
Eziobodo
Eziobodo is a community in southeastern Nigeria located within the Owerri West Local Government Area of Imo State.
-
D.
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
E.
Onicha-Uku
Onicha-Uku is a town in Delta State, Nigeria, situated within the Aniocha South Local Government Area and inhabited predominantly by Igbo-speaking people.
- 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: Kamen-na-Obi Triple: [Novosibirsk Reservoir, hasShorelineSettlement, Kamen-na-Obi]
Generated description
Kamen-na-Obi is a town in Altai Krai, Russia, situated on the Ob River and known as a local industrial and transport center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamen-na-Obi Target entity description: Kamen-na-Obi is a town in Altai Krai, Russia, situated on the Ob River and known as a local industrial and transport center.
-
A.
Ogbadibo
Ogbadibo is a local government area in Benue State, Nigeria, predominantly inhabited by the Idoma people.
-
B.
Iwobi
Iwobi is the surname of Nigerian professional footballer Alex Iwobi, known for his attacking play in the Premier League and for the Nigeria national team.
-
C.
Eziobodo
Eziobodo is a community in southeastern Nigeria located within the Owerri West Local Government Area of Imo State.
-
D.
Arinze
Arinze is a Nigerian surname most notably borne by Cardinal Francis Arinze, a prominent figure in the Roman Catholic Church.
-
E.
Onicha-Uku
Onicha-Uku is a town in Delta State, Nigeria, situated within the Aniocha South Local Government Area and inhabited predominantly by Igbo-speaking people.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 8:59 p.m.