Triple
T11134009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luga River |
E263361
|
entity |
| Predicate | hasNameInRussian |
P20560
|
FINISHED |
| Object | Луга |
E201599
|
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: Луга | Statement: [Luga River, hasNameInRussian, Луга]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Луга Context triple: [Luga River, hasNameInRussian, Луга]
-
A.
Lesnaya
Lesnaya is a village in present-day Belarus historically notable as the site of the 1708 Battle of Lesnaya during the Great Northern War.
-
B.
Lesnoy
Lesnoy is a closed town in Russia’s Sverdlovsk Oblast known for its role in the country’s nuclear and defense industries.
-
C.
Tsaritsyn Meadow
Tsaritsyn Meadow was the historical open space in central Saint Petersburg that later became known as the Field of Mars, a prominent ceremonial and memorial square.
-
D.
Dzyatlava
Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
-
E.
Luga
chosen
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46308d2f481908827d0d569802f89 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.