Triple
T13402910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brugg District |
E319876
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Remigen
Remigen is a small Swiss municipality located in the canton of Aargau.
|
E1039170
|
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: Remigen | Statement: [Brugg District, hasMunicipality, Remigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remigen Context triple: [Brugg District, hasMunicipality, Remigen]
-
A.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
B.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
C.
Morgex
Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
-
D.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
E.
Sygnaq
Sygnaq was a historic Central Asian city that served as an important political and trade center, notably functioning as the capital of the Kazakh Khanate.
- 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: Remigen Triple: [Brugg District, hasMunicipality, Remigen]
Generated description
Remigen is a small Swiss municipality located in the canton of Aargau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Remigen Target entity description: Remigen is a small Swiss municipality located in the canton of Aargau.
-
A.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
B.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
C.
Morgex
Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
-
D.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
E.
Sygnaq
Sygnaq was a historic Central Asian city that served as an important political and trade center, notably functioning as the capital of the Kazakh Khanate.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4982e0819087a9fcb2fa88541f |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73076a7ac8190bd7898edff7d90e8 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f732351cf88190be85186d20b529b7 |
completed | May 3, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732d82c308190907e11de42e2c8ea |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:34 p.m.