Triple
T10975694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20 July plot |
E259363
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Wolfsschanze |
E797217
|
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: Wolfsschanze | Statement: [20 July plot, location, Wolfsschanze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfsschanze Context triple: [20 July plot, location, Wolfsschanze]
-
A.
Wolfsschanze
chosen
Wolfsschanze was Adolf Hitler’s heavily fortified Eastern Front military headquarters in World War II, best known as the site of the failed 20 July 1944 assassination attempt against him.
-
B.
Jagdhof
Jagdhof is a notable local landmark associated with the area of Linn, likely known for its historical or architectural significance.
-
C.
Auhausen
Auhausen is a small Bavarian locality historically notable as the site where the Protestant Union of German states was founded in 1608.
-
D.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
E.
Bad Lauchstädt
Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7aeb66c8190b9d18642b2ad2ea0 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.