Triple
T19214028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavaraget River |
E480430
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Lake Sevan |
—
|
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: Lake Sevan | Statement: [Gavaraget River, mouth, Lake Sevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Sevan Context triple: [Gavaraget River, mouth, Lake Sevan]
-
A.
Lake Sevan
chosen
Lake Sevan is a large high-altitude freshwater lake in eastern Armenia, renowned as one of the country’s most important natural and cultural landmarks.
-
B.
Sevan
Sevan is a town in Armenia known for its proximity to Lake Sevan, one of the largest high-altitude freshwater lakes in the world.
-
C.
Lake Van
Lake Van is the largest lake in Turkey, a saline endorheic lake renowned for its high altitude, unique ecosystem, and historical Armenian cultural sites along its shores.
-
D.
Lake Urmia
Lake Urmia is a large, historically significant salt lake in northwestern Iran known for its dramatic shrinkage due to climate change and water mismanagement.
-
E.
Lake Tuz
Lake Tuz is a large, shallow hypersaline lake in central Turkey known for its extensive salt flats and ecological importance as a habitat for migratory birds.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa397c188190b85bcfd9afd8dce6 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:22 p.m.