Triple
T19325684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heilbronn (district) |
E483340
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lauffen am Neckar |
—
|
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: Lauffen am Neckar | Statement: [Heilbronn (district), contains, Lauffen am Neckar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauffen am Neckar Context triple: [Heilbronn (district), contains, Lauffen am Neckar]
-
A.
Lauffen am Neckar
chosen
Lauffen am Neckar is a small German town in the state of Baden-Württemberg, known for its wine production and picturesque location along the Neckar River.
-
B.
Neckargemünd
Neckargemünd is a small historic town in southwestern Germany, located at the confluence of the Neckar and Elsenz rivers near Heidelberg.
-
C.
Herrlingen
Herrlingen is a small village in the German state of Baden-Württemberg, historically noted as the place where Field Marshal Erwin Rommel spent his final days during World War II.
-
D.
Gärtringen
Gärtringen is a municipality in the German state of Baden-Württemberg, located southwest of Stuttgart.
-
E.
Uffenheim
Uffenheim is a small town in the Franconian region of northern Bavaria, Germany, known for its historic architecture and rural surroundings.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:33 p.m.