Triple
T2404978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Customs Union |
E50255
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Baden |
E220958
|
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: Baden | Statement: [German Customs Union, hasPart, Baden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baden Context triple: [German Customs Union, hasPart, Baden]
-
A.
Baden
Baden is a historic spa town in present-day Switzerland known for hosting the 1714 Treaty of Baden that helped conclude the War of the Spanish Succession.
-
B.
Baden
chosen
Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
-
C.
Baden District
Baden District is an administrative district in the state of Lower Austria, Austria, known for its spa town of Baden and surrounding municipalities.
-
D.
Weil am Rhein
Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
-
E.
Leonberg
Leonberg is a historic town in the German state of Baden-Württemberg, near Stuttgart, known for its picturesque old town and Renaissance-era Pomeranzengarten (orange garden).
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fa151081909bc6be528b29b315 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e740c88190872aa1a7834d73b0 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:58 p.m.