Triple
T20098939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Zollern
Zollern is a historical German noble house and region associated with the origins of the Hohenzollern dynasty in southwestern Germany.
|
E1410961
|
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: Zollern | Statement: [Zollernalbkreis, namedAfter, Zollern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zollern Context triple: [Zollernalbkreis, namedAfter, Zollern]
-
A.
Hüttenberg
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
-
B.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
C.
Hartenstein
Hartenstein is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and scenic location near the Ore Mountains.
-
D.
Gemmenich
Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
-
E.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
- 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: Zollern Triple: [Zollernalbkreis, namedAfter, Zollern]
Generated description
Zollern is a historical German noble house and region associated with the origins of the Hohenzollern dynasty in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zollern Target entity description: Zollern is a historical German noble house and region associated with the origins of the Hohenzollern dynasty in southwestern Germany.
-
A.
Hüttenberg
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
-
B.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
C.
Hartenstein
Hartenstein is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and scenic location near the Ore Mountains.
-
D.
Gemmenich
Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
-
E.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270edd6481909230ece4487f93fd |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0827c6a68c8190aed2d531b4fd2030 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:26 p.m.