Triple
T11987680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albstadt |
E285322
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Onstmettingen
Onstmettingen is a village in the Swabian Jura region of Baden-Württemberg, Germany, that now forms part of the town of Albstadt.
|
E958434
|
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: Onstmettingen | Statement: [Albstadt, formedByMergerOf, Onstmettingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onstmettingen Context triple: [Albstadt, formedByMergerOf, Onstmettingen]
-
A.
Offingen
Offingen is a small market town in the Bavarian region of Swabia in southern Germany.
-
B.
Killinggänget
Killinggänget is a Swedish comedy group known for its influential TV shows and films that blend dark humor with social satire.
-
C.
Overbruch
Overbruch is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
-
D.
Ransäter
Ransäter is a small locality in Värmland County, Sweden, known for its cultural heritage and as the birthplace of notable Swedish figures such as writer and historian Erik Gustaf Geijer.
-
E.
Tjaden
Tjaden is a former locksmith and fellow German soldier in Erich Maria Remarque’s novel "All Quiet on the Western Front," known for his voracious appetite, sharp tongue, and deep camaraderie with Paul Bäumer.
- 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: Onstmettingen Triple: [Albstadt, formedByMergerOf, Onstmettingen]
Generated description
Onstmettingen is a village in the Swabian Jura region of Baden-Württemberg, Germany, that now forms part of the town of Albstadt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onstmettingen Target entity description: Onstmettingen is a village in the Swabian Jura region of Baden-Württemberg, Germany, that now forms part of the town of Albstadt.
-
A.
Offingen
Offingen is a small market town in the Bavarian region of Swabia in southern Germany.
-
B.
Killinggänget
Killinggänget is a Swedish comedy group known for its influential TV shows and films that blend dark humor with social satire.
-
C.
Overbruch
Overbruch is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
-
D.
Ransäter
Ransäter is a small locality in Värmland County, Sweden, known for its cultural heritage and as the birthplace of notable Swedish figures such as writer and historian Erik Gustaf Geijer.
-
E.
Tjaden
Tjaden is a former locksmith and fellow German soldier in Erich Maria Remarque’s novel "All Quiet on the Western Front," known for his voracious appetite, sharp tongue, and deep camaraderie with Paul Bäumer.
- 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_69f472492ebc8190b064e691bb70e356 |
completed | May 1, 2026, 9:28 a.m. |
| NEDg | Description generation | batch_69f47b7c5af08190ab0bff1232530a0c |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47dd51e648190bddd41766221e22d |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.