Triple
T13385743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okulovka |
E319439
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object |
Lyubytino
Lyubytino is a rural locality and administrative center in Novgorod Oblast, Russia, known for its historical wooden architecture and position within the region’s road network.
|
E1041015
|
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: Lyubytino | Statement: [Okulovka, roadConnectionTo, Lyubytino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyubytino Context triple: [Okulovka, roadConnectionTo, Lyubytino]
-
A.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
B.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
C.
Прямухино
Прямухино — это небольшое российское сельское поселение, известное как родовое имение семьи Бакуниных и связанное с жизнью анархиста Михаила Бакунина.
-
D.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
E.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
- 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: Lyubytino Triple: [Okulovka, roadConnectionTo, Lyubytino]
Generated description
Lyubytino is a rural locality and administrative center in Novgorod Oblast, Russia, known for its historical wooden architecture and position within the region’s road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyubytino Target entity description: Lyubytino is a rural locality and administrative center in Novgorod Oblast, Russia, known for its historical wooden architecture and position within the region’s road network.
-
A.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
B.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
C.
Прямухино
Прямухино — это небольшое российское сельское поселение, известное как родовое имение семьи Бакуниных и связанное с жизнью анархиста Михаила Бакунина.
-
D.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
E.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce96d1881909957fdd068a7f55d |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73981816881908aac3ab6b1921904 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73df533e08190b946a30e99119e4f |
completed | May 3, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ea1d4dc8190b388601b1aa93d58 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:33 p.m.