Triple
T16901493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawitsch |
E424447
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Rawitsch (German) |
E424447
|
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: Rawitsch (German) | Statement: [Rawitsch, hasAlternativeName, Rawitsch (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawitsch (German) Context triple: [Rawitsch, hasAlternativeName, Rawitsch (German)]
-
A.
Rawitsch
chosen
Rawitsch is a historical town that was once part of the Prussian Province of Posen in what is now western Poland.
-
B.
Waldteufel
Waldteufel is the surname of Émile Waldteufel, a 19th-century French composer renowned for his elegant waltzes and dance music.
-
C.
Roitzsch
Roitzsch is a village-level subdivision of the town of Wurzen in the Free State of Saxony, Germany.
-
D.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
E.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dc7cf08190ad935935d8daf1d0 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b273608190b552d8dc22bc51ef |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.