Triple
T17493522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gersprenz |
E425988
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Mümling |
—
|
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: Mümling | Statement: [Gersprenz, hasTributary, Mümling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mümling Context triple: [Gersprenz, hasTributary, Mümling]
-
A.
Mümling
chosen
The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
-
B.
Mürwik
Mürwik is a district of Flensburg in northern Germany, best known for hosting the last seat of the German government at the end of World War II and for its prominent naval academy.
-
C.
Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
-
D.
Bulu
The Bulu are a Bantu-speaking ethnic group of central Cameroon known for their rich cultural traditions and historical role in regional trade and politics.
-
E.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d6bd548190b4c6fae27c2a9ae8 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.