Triple
T12055357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Toggenburg |
E287026
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mosnang
Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
|
E967316
|
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: Mosnang | Statement: [district of Toggenburg, contains, Mosnang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosnang Context triple: [district of Toggenburg, contains, Mosnang]
-
A.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
-
B.
Moxhe
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
-
C.
Mugling
Mugling is a small but important transport junction town in central Nepal, serving as a key crossroads between major highways connecting Kathmandu, Pokhara, and the southern plains.
-
D.
Mosogar
Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
-
E.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
- 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: Mosnang Triple: [district of Toggenburg, contains, Mosnang]
Generated description
Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mosnang Target entity description: Mosnang is a Swiss municipality in the canton of St. Gallen, known for its rural character and location in the Toggenburg region.
-
A.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
-
B.
Moxhe
Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
-
C.
Mugling
Mugling is a small but important transport junction town in central Nepal, serving as a key crossroads between major highways connecting Kathmandu, Pokhara, and the southern plains.
-
D.
Mosogar
Mosogar is a prominent Urhobo community in Delta State, Nigeria, known as one of the major clans of the Urhobo ethnic group.
-
E.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
- 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_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:47 p.m.