Triple
T69726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vichy |
E1394
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Lichtenfels
Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
|
E11679
|
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: Lichtenfels | Statement: [Vichy, twinnedWith, Lichtenfels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lichtenfels Context triple: [Vichy, twinnedWith, Lichtenfels]
-
A.
Ulm
Ulm is a historic city in the German state of Baden-Württemberg, best known for its towering Gothic cathedral and as the birthplace of physicist Albert Einstein.
-
B.
Leineschloss
Leineschloss is a historic palace in Hanover, Germany, that served as a royal residence for the House of Hanover and now houses the Lower Saxony state parliament.
-
C.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
-
D.
Bad Tölz
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
-
E.
Braunau am Inn
Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
- 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: Lichtenfels Triple: [Vichy, twinnedWith, Lichtenfels]
Generated description
Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lichtenfels Target entity description: Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
-
A.
Ulm
Ulm is a historic city in the German state of Baden-Württemberg, best known for its towering Gothic cathedral and as the birthplace of physicist Albert Einstein.
-
B.
Leineschloss
Leineschloss is a historic palace in Hanover, Germany, that served as a royal residence for the House of Hanover and now houses the Lower Saxony state parliament.
-
C.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
-
D.
Bad Tölz
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
-
E.
Braunau am Inn
Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a2567b592c8190aaf692a18fcd2f1b |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bff33b8819084f00ed115ebedeb |
completed | Feb. 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69a27f2f07d88190832000212142b088 |
completed | Feb. 28, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27ffd4818819091a276d54c750dc0 |
completed | Feb. 28, 2026, 5:41 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.