Triple
T19484148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rems-Murr-Kreis |
E487464
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Waiblingen |
—
|
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: Waiblingen | Statement: [Rems-Murr-Kreis, hasTown, Waiblingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waiblingen Context triple: [Rems-Murr-Kreis, hasTown, Waiblingen]
-
A.
Waiblingen
chosen
Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
-
B.
Ittlingen
Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
-
C.
Böblingen
Böblingen is a town in the German state of Baden-Württemberg, near Stuttgart, known for its automotive and technology industries and its role as a regional economic center.
-
D.
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.
-
E.
Winnenden
Winnenden is a small town in the German state of Baden-Württemberg, known for its historic center and role in regional Protestant history.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.