Triple
T12055651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gams |
E287034
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Rüthi
Rüthi is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Austria.
|
E962008
|
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: Rüthi | Statement: [Gams, hasNeighboringMunicipality, Rüthi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rüthi Context triple: [Gams, hasNeighboringMunicipality, Rüthi]
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Thurnau
Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
-
C.
Rüti
Rüti is a municipality in the canton of Zurich in Switzerland, known for its historical textile industry and location in the Zurich Oberland region.
-
D.
Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
-
E.
Rahden
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
- 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: Rüthi Triple: [Gams, hasNeighboringMunicipality, Rüthi]
Generated description
Rüthi is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rüthi Target entity description: Rüthi is a municipality in the canton of St. Gallen in northeastern Switzerland, located in the Rhine Valley near the border with Austria.
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Thurnau
Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
-
C.
Rüti
Rüti is a municipality in the canton of Zurich in Switzerland, known for its historical textile industry and location in the Zurich Oberland region.
-
D.
Rucphen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
-
E.
Rahden
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.