Triple
T9406366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Führerhauptquartier system |
E226597
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Adlerhorst
Adlerhorst was a World War II German military command complex in Hesse that served as one of Adolf Hitler’s key Führer headquarters.
|
E800804
|
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: Adlerhorst | Statement: [Führerhauptquartier system, hasComponent, Adlerhorst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adlerhorst Context triple: [Führerhauptquartier system, hasComponent, Adlerhorst]
-
A.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
-
E.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
- 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: Adlerhorst Triple: [Führerhauptquartier system, hasComponent, Adlerhorst]
Generated description
Adlerhorst was a World War II German military command complex in Hesse that served as one of Adolf Hitler’s key Führer headquarters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adlerhorst Target entity description: Adlerhorst was a World War II German military command complex in Hesse that served as one of Adolf Hitler’s key Führer headquarters.
-
A.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
B.
Dierdorf
Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
-
E.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12228d8148190814646881e1f2d98 |
completed | April 4, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69d123ce74f0819096313629c081990b |
completed | April 4, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1243ba18881909c2adf7c0b4b93b8 |
completed | April 4, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:47 p.m.