Triple
T11987681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albstadt |
E285322
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Pfeffingen
Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
|
E969314
|
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: Pfeffingen | Statement: [Albstadt, formedByMergerOf, Pfeffingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfeffingen Context triple: [Albstadt, formedByMergerOf, Pfeffingen]
-
A.
Pfeffingen
Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
-
B.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
C.
Pfaffenberg
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
-
D.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
E.
Frenkendorf
Frenkendorf is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
- 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: Pfeffingen Triple: [Albstadt, formedByMergerOf, Pfeffingen]
Generated description
Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pfeffingen Target entity description: Pfeffingen is a former municipality in the Zollernalb district of Baden-Württemberg, Germany, that was incorporated into the town of Albstadt.
-
A.
Pfeffingen
Pfeffingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and proximity to the city of Basel.
-
B.
Pennenfeld
Pennenfeld is a residential subdistrict of the Bonn borough of Bad Godesberg in Germany.
-
C.
Pfaffenberg
Pfaffenberg is a small locality in the Straubing-Bogen district of Bavaria, Germany.
-
D.
Pfaffstätten
Pfaffstätten is a market town in Lower Austria known for its wine-growing tradition and location within the Baden district near Vienna.
-
E.
Frenkendorf
Frenkendorf is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5b024c81909e4ccfd7dec7edb3 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:46 p.m.