Triple
T12933311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loeffler |
E309437
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Loeffler (without umlaut) |
E309437
|
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: Loeffler (without umlaut) | Statement: [Loeffler, hasVariant, Loeffler (without umlaut)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loeffler (without umlaut) Context triple: [Loeffler, hasVariant, Loeffler (without umlaut)]
-
A.
Loeffler
chosen
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
B.
Läuffer
Läuffer is a central character in Jakob Michael Reinhold Lenz’s Sturm und Drang play "Der Hofmeister," embodying the psychological and social conflicts of an impoverished private tutor in 18th-century German society.
-
C.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
E.
Lohrberg
Lohrberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and scenic hiking paths overlooking the Rhine valley.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc6517481908637781da240b51f |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6a830881908ab238b250d2c7d5 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:42 p.m.