Triple
T10287730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Lomonosov |
E241274
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Lomonosovo |
E241274
|
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: Lomonosovo | Statement: [Mikhail Lomonosov, birthPlace, Lomonosovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lomonosovo Context triple: [Mikhail Lomonosov, birthPlace, Lomonosovo]
-
A.
Lomonosovo
chosen
Lomonosovo is a rural locality in Russia’s Arkhangelsk Oblast, best known as the birthplace of the polymath Mikhail Lomonosov.
-
B.
Mussau
Mussau is an island in Papua New Guinea’s Bismarck Archipelago, known for its distinct Oceanic languages and rich Melanesian-Polynesian cultural heritage.
-
C.
Laevsky
Laevsky is the flawed, indecisive antihero of Anton Chekhov’s novella "The Duel," whose moral weakness and personal crisis drive the story’s central conflict.
-
D.
Lodeynoye Pole
Lodeynoye Pole is a small town in northwestern Russia known as an administrative center and river port in the Leningrad (Saint Petersburg) region.
-
E.
Cape Lopatka
Cape Lopatka is the southernmost point of the Kamchatka Peninsula in Russia, marking the northern boundary of the Kuril Islands chain.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b924908190879a7b6b70e0109a |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8556f4081908390bc5c14dcf560 |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:40 a.m.