Triple
T9093950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratteln |
E217965
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Kaiseraugst
Kaiseraugst is a municipality in the canton of Aargau in northern Switzerland, situated on the Rhine River near the city of Basel.
|
E778286
|
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: Kaiseraugst | Statement: [Pratteln, borderedBy, Kaiseraugst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiseraugst Context triple: [Pratteln, borderedBy, Kaiseraugst]
-
A.
Kaikesi
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
B.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
C.
Kais
Kais is the given name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of executive power.
-
D.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
E.
Köniz
Köniz is a large suburban municipality in the canton of Bern, Switzerland, known for its proximity to the city of Bern and its mix of urban and rural landscapes.
- 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: Kaiseraugst Triple: [Pratteln, borderedBy, Kaiseraugst]
Generated description
Kaiseraugst is a municipality in the canton of Aargau in northern Switzerland, situated on the Rhine River near the city of Basel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaiseraugst Target entity description: Kaiseraugst is a municipality in the canton of Aargau in northern Switzerland, situated on the Rhine River near the city of Basel.
-
A.
Kaikesi
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
B.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
C.
Kais
Kais is the given name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of executive power.
-
D.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
E.
Köniz
Köniz is a large suburban municipality in the canton of Bern, Switzerland, known for its proximity to the city of Bern and its mix of urban and rural landscapes.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01803b0288190a86b544892d4b6ed |
completed | April 3, 2026, 7:41 p.m. |
| NEDg | Description generation | batch_69d01c0f1f8c8190a7988a040a421e34 |
completed | April 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01c730b848190acbaf60f3a9d62bd |
completed | April 3, 2026, 8 p.m. |
Created at: March 30, 2026, 7:14 p.m.