Triple
T18555659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartholomäus Ziegenbalg |
E453496
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Pulsnitz |
—
|
NE NERFINISHED |
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: Pulsnitz | Statement: [Bartholomäus Ziegenbalg, placeOfBirth, Pulsnitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulsnitz Context triple: [Bartholomäus Ziegenbalg, placeOfBirth, Pulsnitz]
-
A.
Pulsnitz
chosen
Pulsnitz is a small town in eastern Saxony, Germany, known for its traditional gingerbread (Pulsnitzer Pfefferkuchen) production.
-
B.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
-
C.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
-
D.
Paplitz
Paplitz is a village and local subdivision of the town of Genthin in the German state of Saxony-Anhalt.
-
E.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53806046481908efbbe6909b2c68b |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:38 a.m.