Triple
T11601931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payerne |
E275151
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Villarepos
Villarepos is a small Swiss municipality located in the canton of Fribourg.
|
E936259
|
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: Villarepos | Statement: [Payerne, neighboringMunicipality, Villarepos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villarepos Context triple: [Payerne, neighboringMunicipality, Villarepos]
-
A.
Villagarzón
Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
-
B.
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
C.
Vallecillo
Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
- 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: Villarepos Triple: [Payerne, neighboringMunicipality, Villarepos]
Generated description
Villarepos is a small Swiss municipality located in the canton of Fribourg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villarepos Target entity description: Villarepos is a small Swiss municipality located in the canton of Fribourg.
-
A.
Villagarzón
Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
-
B.
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
C.
Vallecillo
Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
-
D.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
E.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7f018a881908f4b206699044ceb |
completed | April 22, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69e9e9c6b7c08190838a08cda0290671 |
completed | April 23, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b3a3720819095a4a87176e052cb |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.