Triple
T3736646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neckar |
E79602
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ludwigsburg |
E384479
|
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: Ludwigsburg | Statement: [Neckar, flowsThrough, Ludwigsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludwigsburg Context triple: [Neckar, flowsThrough, Ludwigsburg]
-
A.
Ludwigsburg
chosen
Ludwigsburg is a city in the German state of Baden-Württemberg, known for its large Baroque residential palace and historical ties to the rulers of Württemberg.
-
B.
Esslingen am Neckar
Esslingen am Neckar is a historic German town near Stuttgart, renowned for its well-preserved medieval old town, half-timbered houses, and hillside vineyards along the Neckar River.
-
C.
Rastatt
Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
-
D.
Sindelfingen
Sindelfingen is a city in the German state of Baden-Württemberg known for its major Mercedes-Benz automobile production plant and close ties to the Stuttgart metropolitan area.
-
E.
Freudenstadt
Freudenstadt is a spa and holiday town in southwestern Germany known for its large market square and location in the northern Black Forest.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba392ad08190a66ccf58edecb722 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 8, 2026, 3:34 p.m.