Triple
T12327830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christoph Dolle |
E293878
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Blomberg |
E42660
|
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: Blomberg | Statement: [Christoph Dolle, residence, Blomberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blomberg Context triple: [Christoph Dolle, residence, Blomberg]
-
A.
Blomberg
chosen
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
B.
Franke
Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
-
C.
Wieck
Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
-
D.
Gaggenau
Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
-
E.
Tikkurila
Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.