Triple
T7994741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurach |
E186094
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Herzogenaurach, Bavaria |
E614782
|
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: Herzogenaurach, Bavaria | Statement: [Aurach, flowsThrough, Herzogenaurach, Bavaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzogenaurach, Bavaria Context triple: [Aurach, flowsThrough, Herzogenaurach, Bavaria]
-
A.
Herzogenaurach, Germany
Herzogenaurach, Germany is a Bavarian town internationally known as the home base of major sportswear companies Adidas and Puma.
-
B.
Herzogenaurach
chosen
Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
-
C.
Fürth, Bavaria, Germany
Fürth is a historic city in the German state of Bavaria, now part of the Nuremberg metropolitan area and known for its rich cultural heritage and Jewish history.
-
D.
Bayerisch Gmain
Bayerisch Gmain is a small spa and resort municipality in southeastern Bavaria, Germany, near the Austrian border in the Alps.
-
E.
Berg, Bavaria
Berg, Bavaria is a small municipality on the shores of Lake Starnberg in southern Germany, known for its scenic setting and association with notable historical and cultural figures.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe105d400819096ba271416bb24e7 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:17 p.m.