Triple
T15970259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Mauser |
E387299
|
entity |
| Predicate | hasWorkLocation |
P1527
|
FINISHED |
| Object | Oberndorf am Neckar |
E209138
|
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: Oberndorf am Neckar | Statement: [Paul Mauser, hasWorkLocation, Oberndorf am Neckar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberndorf am Neckar Context triple: [Paul Mauser, hasWorkLocation, Oberndorf am Neckar]
-
A.
Oberndorf am Neckar
chosen
Oberndorf am Neckar is a small town in the German state of Baden-Württemberg, historically known for its arms manufacturing industry.
-
B.
Oberaudorf
Oberaudorf is a small Bavarian town in southern Germany near the Austrian border, known for its alpine scenery and ski tourism.
-
C.
Schwandorf
Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
-
D.
Oberndorf am Lech
Oberndorf am Lech is a Bavarian municipality in southern Germany situated along the River Lech.
-
E.
Biberach an der Riß
Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157291214819088d65e984609e42c |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c44fe7c81908eb32c0b0967365f |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 4:54 a.m.