Triple
T14229552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rega River basin |
E352714
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Schivelbein |
E1088056
|
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: Schivelbein | Statement: [Rega River basin, hasSettlement, Schivelbein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schivelbein Context triple: [Rega River basin, hasSettlement, Schivelbein]
-
A.
Schivelbein
chosen
Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
-
B.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
C.
Sonnemann
Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
-
D.
Mürwik
Mürwik is a district of Flensburg in northern Germany, best known for hosting the last seat of the German government at the end of World War II and for its prominent naval academy.
-
E.
Feldzieg
Feldzieg is a fast-talking Broadway producer character in the musical comedy "The Drowsy Chaperone," often entangled in the show's backstage hijinks and romantic mix-ups.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3251ec5881909fcebc9477d6a761 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:07 a.m.