Triple
T21457852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Au (St. Gallen) |
E529387
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Steiniger Tisch
Steiniger Tisch is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
|
E1485757
|
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: Steiniger Tisch | Statement: [Au (St. Gallen), hasSettlement, Steiniger Tisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steiniger Tisch Context triple: [Au (St. Gallen), hasSettlement, Steiniger Tisch]
-
A.
Tisch
Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
-
B.
Tafelsig
Tafelsig is a residential neighbourhood within the Mitchells Plain area of Cape Town, South Africa, known for its dense population and socio-economic challenges.
-
C.
Rubenstein
Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
-
D.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
E.
Stahlbaum
Stahlbaum is the surname of Clara and her family in E.T.A. Hoffmann’s tale "The Nutcracker and the Mouse King" and its famous ballet adaptations.
- 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: Steiniger Tisch Triple: [Au (St. Gallen), hasSettlement, Steiniger Tisch]
Generated description
Steiniger Tisch is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steiniger Tisch Target entity description: Steiniger Tisch is a small settlement within the municipality of Au in the Swiss canton of St. Gallen.
-
A.
Tisch
Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
-
B.
Tafelsig
Tafelsig is a residential neighbourhood within the Mitchells Plain area of Cape Town, South Africa, known for its dense population and socio-economic challenges.
-
C.
Rubenstein
Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
-
D.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
E.
Stahlbaum
Stahlbaum is the surname of Clara and her family in E.T.A. Hoffmann’s tale "The Nutcracker and the Mouse King" and its famous ballet adaptations.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cfec1aac8190a2d0e44aef54e7f1 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d0b09b7c8190ada49df657da33b0 |
completed | May 17, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d131109c81909183c84c31f66b5a |
completed | May 17, 2026, 2:31 p.m. |
Created at: April 16, 2026, 6:08 p.m.