Triple
T5552351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bettlach |
E145555
|
entity |
| Predicate | hasLocalGovernmentAreaType |
P10835
|
FINISHED |
| Object |
Einwohnergemeinde
Einwohnergemeinde is a type of Swiss local municipality that serves as the primary political and administrative community for residents in a given area.
|
E530917
|
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: Einwohnergemeinde | Statement: [Bettlach, hasLocalGovernmentAreaType, Einwohnergemeinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Einwohnergemeinde Context triple: [Bettlach, hasLocalGovernmentAreaType, Einwohnergemeinde]
-
A.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
B.
Mensdorf
Mensdorf is a small village in eastern Luxembourg that forms part of the commune of Betzdorf.
-
C.
Ettenheim
Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
-
D.
Wienhausen
Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
-
E.
Emsdorf
Emsdorf is a village in the German state of Hesse, historically notable as the site of the Battle of Emsdorf during the Seven Years' War.
- 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: Einwohnergemeinde Triple: [Bettlach, hasLocalGovernmentAreaType, Einwohnergemeinde]
Generated description
Einwohnergemeinde is a type of Swiss local municipality that serves as the primary political and administrative community for residents in a given area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Einwohnergemeinde Target entity description: Einwohnergemeinde is a type of Swiss local municipality that serves as the primary political and administrative community for residents in a given area.
-
A.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
B.
Mensdorf
Mensdorf is a small village in eastern Luxembourg that forms part of the commune of Betzdorf.
-
C.
Ettenheim
Ettenheim is a historic small town in southwestern Germany’s Baden-Württemberg region, known for its well-preserved old town and location near the Black Forest.
-
D.
Wienhausen
Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
-
E.
Emsdorf
Emsdorf is a village in the German state of Hesse, historically notable as the site of the Battle of Emsdorf during the Seven Years' War.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff872bc81908e14776f7ba4154e |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028350bc08190a8b48893157b86a1 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c037b5be3c819098c8500350267a1e |
completed | March 22, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:35 p.m.