Triple
T14090749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snezhnaya River |
E339123
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Lake Baikal |
E56001
|
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: Lake Baikal | Statement: [Snezhnaya River, mouth, Lake Baikal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Baikal Context triple: [Snezhnaya River, mouth, Lake Baikal]
-
A.
Lake Baikal
chosen
Lake Baikal is a massive rift lake in Siberia renowned as the world's deepest and oldest freshwater lake, containing about one-fifth of the planet's unfrozen surface fresh water.
-
B.
Lake Kanasatka
Lake Kanasatka is a small, scenic freshwater lake in central New Hampshire known for its quiet, family-oriented camps, cottages, and outdoor recreation.
-
C.
Kronotskoye Lake
Kronotskoye Lake is a remote volcanic crater lake in Russia’s Kamchatka Peninsula, renowned for its pristine wilderness, rich wildlife, and dramatic surrounding landscapes.
-
D.
Lake Beloye
Lake Beloye is a large freshwater lake in northwestern Russia known for its role in regional waterways and its location within Vologda Oblast.
-
E.
Lake Abashiri
Lake Abashiri is a brackish lake in eastern Hokkaido, Japan, known for its seasonal drift ice and rich wetland ecosystems that support diverse birdlife.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193332308190870c4ec7c9753202 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:21 p.m.