Triple
T16482091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chur–Rorschach railway line |
E400344
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object |
Au SG
Au SG is a municipality in the Swiss canton of St. Gallen, located in the Rhine Valley near the border with Austria.
|
E1217419
|
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: Au SG | Statement: [Chur–Rorschach railway line, servesTown, Au SG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Au SG Context triple: [Chur–Rorschach railway line, servesTown, Au SG]
-
A.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
-
B.
Sau
Sau is an ancient city historically known as Sais, a prominent religious and political center in the western Nile Delta of ancient Egypt.
-
C.
Aukena
Aukena is a small inhabited island in the Gambier Islands of French Polynesia, known for its historical Catholic mission sites and scenic lagoon setting.
-
D.
Na Gode
"Na Gode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its themes of gratitude and its blend of contemporary and traditional musical elements.
-
E.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
- 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: Au SG Triple: [Chur–Rorschach railway line, servesTown, Au SG]
Generated description
Au SG is a municipality in the Swiss canton of St. Gallen, located in the Rhine Valley near the border with Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Au SG Target entity description: Au SG is a municipality in the Swiss canton of St. Gallen, located in the Rhine Valley near the border with Austria.
-
A.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
-
B.
Sau
Sau is an ancient city historically known as Sais, a prominent religious and political center in the western Nile Delta of ancient Egypt.
-
C.
Aukena
Aukena is a small inhabited island in the Gambier Islands of French Polynesia, known for its historical Catholic mission sites and scenic lagoon setting.
-
D.
Na Gode
"Na Gode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its themes of gratitude and its blend of contemporary and traditional musical elements.
-
E.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581ebe888190a331974473f1be1a |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059473c088190a8c9fc757c0a3ef1 |
completed | May 10, 2026, 10:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a457868819096e21df6944de0ff |
completed | May 10, 2026, 10:13 a.m. |
Created at: April 10, 2026, 5:13 a.m.