Triple
T335539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerhard Schröder |
E6717
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
|
E45473
|
NE FINISHED |
How this triple was built (4 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: Mossenberg-Wöhren | Statement: [Gerhard Schröder, placeOfBirth, Mossenberg-Wöhren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mossenberg-Wöhren Context triple: [Gerhard Schröder, placeOfBirth, Mossenberg-Wöhren]
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
D.
Löwenstein
Löwenstein is the original family name of the renowned Hungarian-American actor Peter Lorre, known for his distinctive roles in classic Hollywood and European cinema.
-
E.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mossenberg-Wöhren Triple: [Gerhard Schröder, placeOfBirth, Mossenberg-Wöhren]
Generated description
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mossenberg-Wöhren Target entity description: Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
A.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
D.
Löwenstein
Löwenstein is the original family name of the renowned Hungarian-American actor Peter Lorre, known for his distinctive roles in classic Hollywood and European cinema.
-
E.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
- F. None of above. chosen
Provenance (5 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac81c0c8190b3cb0d53b1cf62b5 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e572e9c48190b177b363ed8a8404 |
completed | March 1, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69a3e5b24a3c8190a07157325ed40960 |
completed | March 1, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3e60a742481908c69fe016283c83a |
completed | March 1, 2026, 7:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.