Triple
T1983925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duchy of Saxe-Weimar-Eisenach |
E43093
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
Thaler
The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
|
E223133
|
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: Thaler | Statement: [Grand Duchy of Saxe-Weimar-Eisenach, currency, Thaler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thaler Context triple: [Grand Duchy of Saxe-Weimar-Eisenach, currency, Thaler]
-
A.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
B.
Roth
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
-
C.
Roth
Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
-
D.
White Elster
White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
-
E.
Guth
Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
- 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: Thaler Triple: [Grand Duchy of Saxe-Weimar-Eisenach, currency, Thaler]
Generated description
The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thaler Target entity description: The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
-
A.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
B.
Loewenstein
Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
-
C.
Roth
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
-
D.
Roth
Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
-
E.
White Elster
White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb820815481908aac6d89b437225b |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03301a2481909f6147482d490b90 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae04eb6c5c8190914fc35975400784 |
completed | March 8, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae055df5ec8190ae39d938a8102b9d |
completed | March 8, 2026, 11:25 p.m. |
Created at: March 4, 2026, 7:37 p.m.