Triple
T5516334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoenfeld |
E144691
|
entity |
| Predicate | hasTransliterationOf |
P2508
|
FINISHED |
| Object | Schönfeld |
E529599
|
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: Schönfeld | Statement: [Schoenfeld, hasTransliterationOf, Schönfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönfeld Context triple: [Schoenfeld, hasTransliterationOf, Schönfeld]
-
A.
Schönfeld
chosen
Schönfeld is a German surname and place name found in various regions of German-speaking Europe.
-
B.
Schönried
Schönried is a Swiss alpine village and ski resort in the Bernese Oberland, known for its scenic mountain setting and proximity to the upscale resort area of Gstaad.
-
C.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
D.
Schöneberg
Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
-
E.
Bromberg
Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5e8ce08190b7f5f2131bebcd4f |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cc5f37881909f9aa8090f6c9685 |
completed | March 22, 2026, 8:10 p.m. |
Created at: March 22, 2026, 3:33 p.m.