Triple
T1355391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst von Weizsäcker |
E28976
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Lindau
Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
|
E156177
|
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: Lindau | Statement: [Ernst von Weizsäcker, placeOfDeath, Lindau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindau Context triple: [Ernst von Weizsäcker, placeOfDeath, Lindau]
-
A.
Triberg
Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
-
B.
Crombach
Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
-
C.
Sassnitz
Sassnitz is a port town on the Baltic Sea coast of Germany, located on the island of Rügen and known as a gateway to nearby national parks and chalk cliffs.
-
D.
Wismar
Wismar is a historic Hanseatic port city on Germany’s Baltic Sea coast, known for its well-preserved medieval architecture and UNESCO-listed old town.
-
E.
Rastatt
Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
- 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: Lindau Triple: [Ernst von Weizsäcker, placeOfDeath, Lindau]
Generated description
Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lindau Target entity description: Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
-
A.
Triberg
Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
-
B.
Crombach
Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
-
C.
Sassnitz
Sassnitz is a port town on the Baltic Sea coast of Germany, located on the island of Rügen and known as a gateway to nearby national parks and chalk cliffs.
-
D.
Wismar
Wismar is a historic Hanseatic port city on Germany’s Baltic Sea coast, known for its well-preserved medieval architecture and UNESCO-listed old town.
-
E.
Rastatt
Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6bf6188190a0e1c8acd16b8088 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf47541481909f2032cdf8e4272b |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accff8af488190a7580cf7c02ceed9 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:56 p.m.