Triple
T11703930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemer |
E278192
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Muráň River |
E928235
|
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: Muráň River | Statement: [Gemer, traversedBy, Muráň River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muráň River Context triple: [Gemer, traversedBy, Muráň River]
-
A.
Muráň River
chosen
The Muráň River is a watercourse in central Slovakia that flows through the town of Jelšava and the surrounding Muráň Plateau region.
-
B.
Bystřice River
The Bystřice River is a watercourse in the Czech Republic that flows through the historic mining town of Jáchymov in the Ore Mountains region.
-
C.
Slaná River
The Slaná River is a Central European river flowing through Slovakia and Hungary, known as a tributary of the Sajó and part of the Tisza River basin.
-
D.
Svitava River
The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka River.
-
E.
Bystřice river
The Bystřice river is a watercourse in the Czech Republic that flows through the town of Hořice and its surrounding region.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08fd4c09081909ee36de77ca67247 |
completed | April 28, 2026, 10:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.