Triple
T8313039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vindonissa |
E194636
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object |
Windisch
Windisch is a municipality in the canton of Aargau in northern Switzerland, known for encompassing the site of the former Roman legionary camp of Vindonissa.
|
E725490
|
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: Windisch | Statement: [Vindonissa, locatedInPresentDay, Windisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windisch Context triple: [Vindonissa, locatedInPresentDay, Windisch]
-
A.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
D.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
E.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
- 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: Windisch Triple: [Vindonissa, locatedInPresentDay, Windisch]
Generated description
Windisch is a municipality in the canton of Aargau in northern Switzerland, known for encompassing the site of the former Roman legionary camp of Vindonissa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Windisch Target entity description: Windisch is a municipality in the canton of Aargau in northern Switzerland, known for encompassing the site of the former Roman legionary camp of Vindonissa.
-
A.
Brieg
Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
D.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
E.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd957ac9788190b4253cca9b4b095d |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdab5d649c819098a7643d5a0b7827 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2c2e2248190bf52466abaebfe29 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:54 p.m.