Triple
T24909960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шешупе |
E623818
|
entity |
| Predicate | крупныйПриток |
P157866
|
FINISHED |
| Object | Виштитис |
—
|
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: Виштитис | Statement: [Шешупе, крупныйПриток, Виштитис]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: крупныйПриток Context triple: [Шешупе, крупныйПриток, Виштитис]
-
A.
впадаетВБолееКрупнуюРеку
chosen
Indicates that a smaller river flows into and joins a larger river.
-
B.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
C.
тип реки
Indicates the classification or category of a river based on its characteristics or role.
-
D.
tributary
Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
-
E.
largestInflowRiver
Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
- F. None of above.
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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:27 a.m.