Triple
T15336327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Msta River |
E366674
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Lyubytino |
E1041015
|
NE FINISHED |
How this triple was built (2 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: [Msta River, passesNear, Lyubytino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyubytino Context triple: [Msta River, passesNear, Lyubytino]
-
A.
Lyubytino
chosen
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.
-
B.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
C.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
D.
Прямухино
Прямухино — это небольшое российское сельское поселение, известное как родовое имение семьи Бакуниных и связанное с жизнью анархиста Михаила Бакунина.
-
E.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219635b08190a19dcaeb72240379 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:17 a.m.