Triple
T1765991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alb-Donau-Kreis |
E38763
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Munderkingen
Munderkingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Danube River.
|
E197467
|
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: Munderkingen | Statement: [Alb-Donau-Kreis, hasTown, Munderkingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munderkingen Context triple: [Alb-Donau-Kreis, hasTown, Munderkingen]
-
A.
Kingsessing
Kingsessing is a historic, predominantly residential neighborhood in Southwest Philadelphia known for its diverse community and urban park spaces.
-
B.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
C.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
D.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- 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: Munderkingen Triple: [Alb-Donau-Kreis, hasTown, Munderkingen]
Generated description
Munderkingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Danube River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Munderkingen Target entity description: Munderkingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Danube River.
-
A.
Kingsessing
Kingsessing is a historic, predominantly residential neighborhood in Southwest Philadelphia known for its diverse community and urban park spaces.
-
B.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
C.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
D.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f37a28819086c35c9f7a07dea9 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada4da6a988190847452139e1c210d |
completed | March 8, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada55d96b88190a4a5c6973d69592d |
completed | March 8, 2026, 4:35 p.m. |
Created at: March 4, 2026, 7:31 p.m.