Triple
T18846907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amt Hohe Elbgeest |
E460939
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Artlenburg
Artlenburg is a small municipality in northern Germany, situated on the Elbe River in the state of Lower Saxony.
|
E1345341
|
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: Artlenburg | Statement: [Amt Hohe Elbgeest, hasMunicipality, Artlenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artlenburg Context triple: [Amt Hohe Elbgeest, hasMunicipality, Artlenburg]
-
A.
Altburg
Altburg is a village-sized district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
-
B.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Hachenburg
Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
-
D.
Offenberg
Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
-
E.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
- 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: Artlenburg Triple: [Amt Hohe Elbgeest, hasMunicipality, Artlenburg]
Generated description
Artlenburg is a small municipality in northern Germany, situated on the Elbe River in the state of Lower Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artlenburg Target entity description: Artlenburg is a small municipality in northern Germany, situated on the Elbe River in the state of Lower Saxony.
-
A.
Altburg
Altburg is a village-sized district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
-
B.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Hachenburg
Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
-
D.
Offenberg
Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
-
E.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567743f788190b85a9fa1e7345a27 |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a0568fc78748190b487d4c0b444a8ea |
completed | May 14, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056966665c81909d9e82f1fbd1d518 |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.