Triple
T18449654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courchavon |
E450745
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Montignez
Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
|
E1325601
|
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: Montignez | Statement: [Courchavon, hasNeighboringMunicipality, Montignez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montignez Context triple: [Courchavon, hasNeighboringMunicipality, Montignez]
-
A.
Morisset
Morisset is a town in the City of Lake Macquarie, New South Wales, Australia, known as a regional centre near the southern end of Lake Macquarie.
-
B.
Vimont
Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Le Moyne
Le Moyne is a French surname notably borne by the colonial Le Moyne family, which produced several prominent explorers and administrators in New France and Louisiana.
-
E.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
- 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: Montignez Triple: [Courchavon, hasNeighboringMunicipality, Montignez]
Generated description
Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montignez Target entity description: Montignez is a small former municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
A.
Morisset
Morisset is a town in the City of Lake Macquarie, New South Wales, Australia, known as a regional centre near the southern end of Lake Macquarie.
-
B.
Vimont
Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Le Moyne
Le Moyne is a French surname notably borne by the colonial Le Moyne family, which produced several prominent explorers and administrators in New France and Louisiana.
-
E.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fe3a8248190ab103d8e41141113 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a041176a7e88190a38e3ace547212c2 |
completed | May 13, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0412085b788190b4308f7ece1c7fa3 |
completed | May 13, 2026, 5:54 a.m. |
Created at: April 10, 2026, 11:30 a.m.