Triple
T12662017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Barbara Bach |
E302447
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Gehren |
E309055
|
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: Gehren | Statement: [Maria Barbara Bach, placeOfBirth, Gehren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gehren Context triple: [Maria Barbara Bach, placeOfBirth, Gehren]
-
A.
Gehren
chosen
Gehren is a small town in the German state of Thuringia, historically notable as the birthplace of Maria Barbara Bach, first wife of composer Johann Sebastian Bach.
-
B.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
C.
Göhren
Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
-
D.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
E.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb4d0088190b71fc0573cd40ddd |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:19 p.m.