Triple
T11601933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payerne |
E275151
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Chevroux
Chevroux is a small Swiss municipality located on the southern shore of Lake Neuchâtel in the canton of Vaud.
|
E978272
|
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: Chevroux | Statement: [Payerne, neighboringMunicipality, Chevroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chevroux Context triple: [Payerne, neighboringMunicipality, Chevroux]
-
A.
Chevry
Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
-
B.
Villeray
Villeray is a residential neighborhood in Montreal, Quebec, known for its diverse population, local shops, and proximity to Jarry Park.
-
C.
Maisons-Laffitte
Maisons-Laffitte is a suburban commune in the Île-de-France region of north-central France, known for its historic château and prominent horse-racing heritage.
-
D.
Loison
Loison is a small river in northeastern France that serves as a tributary of the Chiers.
-
E.
Villeneuve-Saint-Georges
Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
- 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: Chevroux Triple: [Payerne, neighboringMunicipality, Chevroux]
Generated description
Chevroux is a small Swiss municipality located on the southern shore of Lake Neuchâtel in the canton of Vaud.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chevroux Target entity description: Chevroux is a small Swiss municipality located on the southern shore of Lake Neuchâtel in the canton of Vaud.
-
A.
Chevry
Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
-
B.
Villeray
Villeray is a residential neighborhood in Montreal, Quebec, known for its diverse population, local shops, and proximity to Jarry Park.
-
C.
Maisons-Laffitte
Maisons-Laffitte is a suburban commune in the Île-de-France region of north-central France, known for its historic château and prominent horse-racing heritage.
-
D.
Loison
Loison is a small river in northeastern France that serves as a tributary of the Chiers.
-
E.
Villeneuve-Saint-Georges
Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
- 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_69f62a7133d88190813a1e74ef310993 |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62d0377348190b7c227cad70286ac |
completed | May 2, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62dc269e88190acce761f77d44654 |
completed | May 2, 2026, 5 p.m. |
Created at: April 8, 2026, 9:38 p.m.