Triple
T15103130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaevsky District |
E360718
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lazarev
Lazarev is a rural settlement located within the Nikolaevsky District of Russia.
|
E1138819
|
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: Lazarev | Statement: [Nikolaevsky District, hasSettlement, Lazarev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazarev Context triple: [Nikolaevsky District, hasSettlement, Lazarev]
-
A.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
B.
Laptev
Laptev is a Russian surname most notably associated with the 18th-century Arctic explorer Dmitry Laptev.
-
C.
Goryachev
Goryachev is a Russian surname, typically the masculine form from which the feminine variant "Goryacheva" is derived.
-
D.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
-
E.
Larionov
Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
- 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: Lazarev Triple: [Nikolaevsky District, hasSettlement, Lazarev]
Generated description
Lazarev is a rural settlement located within the Nikolaevsky District of Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lazarev Target entity description: Lazarev is a rural settlement located within the Nikolaevsky District of Russia.
-
A.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
B.
Laptev
Laptev is a Russian surname most notably associated with the 18th-century Arctic explorer Dmitry Laptev.
-
C.
Goryachev
Goryachev is a Russian surname, typically the masculine form from which the feminine variant "Goryacheva" is derived.
-
D.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
-
E.
Larionov
Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e6fc7c8190b517a7daa567d67c |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb9f7b6d88190886fd65ce736ed1b |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febaa20ffc819090dd4b113d8513d7 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 10, 2026, 3:05 a.m.