Triple
T17493514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gersprenz |
E425988
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Münster (Hesse) |
—
|
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: Münster (Hesse) | Statement: [Gersprenz, flowsThrough, Münster (Hesse)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münster (Hesse) Context triple: [Gersprenz, flowsThrough, Münster (Hesse)]
-
A.
Münster (Hesse)
chosen
Münster (Hesse) is a small municipality in the German state of Hesse, located in the Darmstadt-Dieburg district in the southern part of the state.
-
B.
Münster (Kelkheim)
Münster (Kelkheim) is a district of the town of Kelkheim in the Main-Taunus-Kreis region of Hesse, Germany.
-
C.
Neustadt (Hessen)
Neustadt (Hessen) is a small town in the German state of Hesse, known for its historic half-timbered buildings and location within the Marburg-Biedenkopf district.
-
D.
Mettmann
Mettmann is a town in western Germany’s North Rhine-Westphalia region, known as the administrative center of the Mettmann district and for its proximity to the Neander Valley.
-
E.
Münster
Münster is a historic city in western Germany known as one of the principal sites where the Peace of Westphalia treaties were negotiated and signed, ending the Thirty Years' War in 1648.
- 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.