Triple
T16124955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Aichach |
E837929
|
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: Aichach | Statement: [Aichach-Friedberg, namedAfter, Aichach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aichach Context triple: [Aichach-Friedberg, namedAfter, Aichach]
-
A.
Aichach
chosen
Aichach is a town in Bavaria, Germany, known in part for its prison where several Nazi war criminals, including Ilse Koch, were held and died.
-
B.
Achagua
Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
-
C.
Kleihues
Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
-
D.
Bavier
Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
-
E.
Achmer
Achmer is a district of the town of Bramsche in Lower Saxony, Germany, known for its rural character and local railway connections.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeef277481908ab35bbff06c827a |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5 a.m.