Triple
T21832715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfeffingen |
E539038
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Nenzlingen
Nenzlingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and scenic surroundings.
|
E1536718
|
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: Nenzlingen | Statement: [Pfeffingen, neighboringMunicipality, Nenzlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nenzlingen Context triple: [Pfeffingen, neighboringMunicipality, Nenzlingen]
-
A.
Lüsslingen
Lüsslingen is a village and former municipality in the canton of Solothurn in Switzerland.
-
B.
Lutzingen
Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
-
C.
Neidlingen
Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
-
D.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
E.
Güglingen
Güglingen is a small town in the German state of Baden-Württemberg, known for its wine-growing tradition and location in the Zabergäu region.
- 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: Nenzlingen Triple: [Pfeffingen, neighboringMunicipality, Nenzlingen]
Generated description
Nenzlingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nenzlingen Target entity description: Nenzlingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural character and scenic surroundings.
-
A.
Lüsslingen
Lüsslingen is a village and former municipality in the canton of Solothurn in Switzerland.
-
B.
Lutzingen
Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
-
C.
Neidlingen
Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
-
D.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
E.
Güglingen
Güglingen is a small town in the German state of Baden-Württemberg, known for its wine-growing tradition and location in the Zabergäu region.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c554fac81908e6159bba70e310e |
completed | May 18, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0b0cfa58cc819085e976bf76fbf149 |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d534f1481908e74f754426d321f |
completed | May 18, 2026, 1 p.m. |
Created at: April 16, 2026, 6:55 p.m.