Triple
T20120393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasovice |
E490589
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Dyje 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: Dyje River | Statement: [Tasovice, locatedOnRiver, Dyje River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyje River Context triple: [Tasovice, locatedOnRiver, 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.
Amper River
The Amper River is a Bavarian river that flows through Upper Bavaria, including the district of Freising, before joining the Isar River.
-
D.
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.
-
E.
Donauquelle
Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673cfaac81909d6216f3e37c2439 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.