Triple
T9555975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Piene |
E230540
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bad Laasphe |
E349382
|
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: Bad Laasphe | Statement: [Otto Piene, placeOfBirth, Bad Laasphe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Laasphe Context triple: [Otto Piene, placeOfBirth, Bad Laasphe]
-
A.
Bad Laasphe
chosen
Bad Laasphe is a small spa town in the Siegen-Wittgenstein district of North Rhine-Westphalia, Germany, known for its scenic location in the upper Lahn valley.
-
B.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
C.
Badbergen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
-
D.
Bad Reinerz
Bad Reinerz is the former German name of the spa town now known as Duszniki-Zdrój in southwestern Poland.
-
E.
Bad Elster
Bad Elster is a historic spa town in Saxony, Germany, renowned for its mineral springs and role as a traditional health resort.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9927209c8190bbb494fc9003bc99 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152913df0819089ec9656dcdc9fa1 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.