Triple
T13769150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ilmen |
E330829
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Lovat River |
—
|
NE NERFINISHED |
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: Lovat River | Statement: [Lake Ilmen, inflow, Lovat River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovat River Context triple: [Lake Ilmen, inflow, Lovat River]
-
A.
Lovat River
chosen
The Lovat River is a waterway in northwestern Russia that flows through the Novgorod region before emptying into Lake Ilmen.
-
B.
Ondava River
The Ondava River is a river in eastern Slovakia that flows through the Zemplín region and contributes to the Bodrog River system.
-
C.
Úslava River
The Úslava River is a river in the Czech Republic that flows through the Plzeň Region before joining the Berounka River.
-
D.
Tokositna River
The Tokositna River is a glacially fed river in Alaska that drains the southern slopes of the Alaska Range, including areas near Denali, before joining the Susitna River system.
-
E.
Tecka River
The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
Created at: April 9, 2026, 10:10 p.m.