Triple
T22530461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelische Pfarrkirche St. Georg |
E557020
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Georgensgmünd |
—
|
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: Georgensgmünd | Statement: [Evangelische Pfarrkirche St. Georg, locatedIn, Georgensgmünd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgensgmünd Context triple: [Evangelische Pfarrkirche St. Georg, locatedIn, Georgensgmünd]
-
A.
Georgensgmünd
chosen
Georgensgmünd is a market town in the Roth district of Bavaria, Germany, known for its location at the confluence of the Rednitz and Schwäbische Rezat rivers.
-
B.
Sankt Georgen
Sankt Georgen is the German name for the Slovak town of Svätý Jur, a historic wine-growing settlement near Bratislava.
-
C.
St. Georgen
St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
-
D.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
E.
Grafenhausen
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.