Triple
T17128152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Lehmann |
E415651
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Sigmaringen |
—
|
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: Sigmaringen | Statement: [Karl Lehmann, placeOfBirth, Sigmaringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigmaringen Context triple: [Karl Lehmann, placeOfBirth, Sigmaringen]
-
A.
Sigmaringen
chosen
Sigmaringen is a historic town in southwestern Germany best known for its Hohenzollern castle and its role as a former seat of the Hohenzollern-Sigmaringen principality.
-
B.
Hechingen
Hechingen is a historic town in the German state of Baden-Württemberg, known for its proximity to Hohenzollern Castle and its role as a former seat of the Hohenzollern dynasty.
-
C.
Illzach
Illzach is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
-
D.
Furtwangen
Furtwangen is a small town in Germany’s Black Forest region, historically known for its clockmaking industry and home to the Furtwangen University of Applied Sciences.
-
E.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 5:36 a.m.