Triple
T17921214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest plain |
E448070
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bad Sassendorf |
—
|
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: Bad Sassendorf | Statement: [Soest plain, contains, Bad Sassendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Sassendorf Context triple: [Soest plain, contains, Bad Sassendorf]
-
A.
Bad Sassendorf
chosen
Bad Sassendorf is a spa town in North Rhine-Westphalia, Germany, known for its saline thermal baths and health resorts.
-
B.
Wolfenschiessen
Wolfenschiessen is a Swiss municipality in the alpine canton of Nidwalden, known for its mountainous landscape and rural character.
-
C.
Schoenfeld
Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
D.
Schaech
Schaech is the surname of American actor and screenwriter Johnathon Schaech, known for roles in films like "That Thing You Do!" and various television series.
-
E.
Cornfeld
Cornfeld is a surname most notably associated with American film producer and actor Stuart Cornfeld.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.