Triple
T1558721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Chernaya |
E33268
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Chernaya River |
E152390
|
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: Chernaya River | Statement: [Battle of the Chernaya, location, Chernaya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chernaya River Context triple: [Battle of the Chernaya, location, Chernaya River]
-
A.
Klyazma River
The Klyazma River is a significant waterway in western Russia that flows through several regions, including Moscow Oblast, before joining the Oka River.
-
B.
Vetluga River
The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
-
C.
Izhora River
The Izhora River is a small river in northwestern Russia that flows through the Leningrad Oblast and Saint Petersburg region before joining the Neva River.
-
D.
Khrami River
chosen
The Khrami River is a significant river in the South Caucasus that flows through Georgia and Azerbaijan before joining the Mtkvari (Kura) River.
-
E.
Magadanka River
The Magadanka River is a small river in Russia’s Magadan Oblast that flows through the city of Magadan and gives the city its name.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6adcef5881908cefd7d575b85323 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.