Triple
T10257401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neisse River |
E240507
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Lausitzer Neisse |
E840120
|
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: Lausitzer Neisse | Statement: [Neisse River, hasAlternativeName, Lausitzer Neisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lausitzer Neisse Context triple: [Neisse River, hasAlternativeName, Lausitzer Neisse]
-
A.
Lusatian Neisse River
chosen
The Lusatian Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
-
B.
Oder-Spree
Oder-Spree is a rural district in the eastern German state of Brandenburg, known for its lakes, forests, and towns along the Oder and Spree rivers.
-
C.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
D.
Lech River
The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
-
E.
Orlice River
The Orlice River is a significant river in the Czech Republic that flows through eastern Bohemia and joins the Elbe near the city of Hradec Králové.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f3814dc8190b9da0ee680209d51 |
completed | April 10, 2026, 6:56 a.m. |
Created at: April 6, 2026, 11:31 a.m.