Triple
T8734844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Moravia |
E207351
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Dyje River |
E445476
|
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: Dyje River | Statement: [South Moravia, hasRiver, Dyje River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyje River Context triple: [South Moravia, hasRiver, Dyje River]
-
A.
Dyje
chosen
The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
-
B.
Qu River
The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
-
C.
La Doua
La Doua is a major university and research campus area in the Lyon metropolitan region, known for hosting several science and engineering institutions.
-
D.
Rhône River
The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
-
E.
Rhône
Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2936f84081908cf91f1dc9a4d27f |
completed | April 3, 2026, 2:43 a.m. |
Created at: March 30, 2026, 6:37 p.m.