Triple
T15588643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Office of Sport |
E374685
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Magglingen
Magglingen is a Swiss village in the canton of Bern known as a national center for sports and physical education.
|
E1202613
|
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: Magglingen | Statement: [Federal Office of Sport, headquartersLocation, Magglingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magglingen Context triple: [Federal Office of Sport, headquartersLocation, Magglingen]
-
A.
Merklingen
Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
-
B.
Merklingen
Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
-
C.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Menzingen
Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
-
E.
Mötzingen
Mötzingen is a small municipality in the German state of Baden-Württemberg, located in the Böblingen region of southwestern 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: Magglingen Triple: [Federal Office of Sport, headquartersLocation, Magglingen]
Generated description
Magglingen is a Swiss village in the canton of Bern known as a national center for sports and physical education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magglingen Target entity description: Magglingen is a Swiss village in the canton of Bern known as a national center for sports and physical education.
-
A.
Merklingen
Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
-
B.
Merklingen
Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
-
C.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Menzingen
Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
-
E.
Mötzingen
Mötzingen is a small municipality in the German state of Baden-Württemberg, located in the Böblingen region of southwestern 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebe275c819094473d37cf33c7d0 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000fbc8374819089ea5ecf06339d0c |
completed | May 10, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001057f9088190925492033bcd4c8d |
completed | May 10, 2026, 4:58 a.m. |
Created at: April 10, 2026, 4:11 a.m.