Triple
T10257394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neisse River |
E240507
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object | Guben |
E293204
|
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: Guben | Statement: [Neisse River, confluenceNear, Guben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guben Context triple: [Neisse River, confluenceNear, Guben]
-
A.
Guben
chosen
Guben is a town in eastern Germany near the Polish border, historically part of Brandenburg and known for its textile and industrial heritage.
-
B.
Gubin
Gubin is a town in western Poland situated on the Lusatian Neisse River, directly opposite the German town of Guben, forming a cross-border urban area.
-
C.
Givan
Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
-
D.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
E.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
- 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_69d6f7e153b0819084708b6f7127cdea |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:31 a.m.