Triple
T2749506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldur von Schirach |
E60950
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Kronsberg
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
|
E297040
|
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: Kronsberg | Statement: [Baldur von Schirach, placeOfDeath, Kronsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kronsberg Context triple: [Baldur von Schirach, placeOfDeath, Kronsberg]
-
A.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
B.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
C.
Dinkelsbühl
Dinkelsbühl is a well-preserved medieval town in Bavaria, Germany, renowned for its intact city walls, historic half-timbered houses, and picturesque old town.
-
D.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
-
E.
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.
- 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: Kronsberg Triple: [Baldur von Schirach, placeOfDeath, Kronsberg]
Generated description
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kronsberg Target entity description: Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
-
A.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
B.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
C.
Dinkelsbühl
Dinkelsbühl is a well-preserved medieval town in Bavaria, Germany, renowned for its intact city walls, historic half-timbered houses, and picturesque old town.
-
D.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
-
E.
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.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc03e69508190b55a4ad83fca3a45 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0e092848190889e85f017a7832c |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc159d0908190b4afe1a6b122076e |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:56 p.m.