Triple
T16471254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Wildbad |
E400064
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Calw |
E400063
|
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: Calw | Statement: [Bad Wildbad, locatedNear, Calw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calw Context triple: [Bad Wildbad, locatedNear, Calw]
-
A.
Calw
chosen
Calw is a historic town in the Black Forest region of southwestern Germany, known as the birthplace of writer Hermann Hesse and for its well-preserved timber-framed architecture.
-
B.
Lockweiler
Lockweiler is a village-level district within the town of Wadern in the Saarland region of Germany.
-
C.
Calver
Calver is a small village in Derbyshire, England, situated in the Peak District and known for its scenic rural setting and historic stone buildings.
-
D.
Kelshall
Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
-
E.
Willart
Willart is a given name or surname that functions as a variant spelling of Willard.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5af4308190bd023624de35027f |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.