Triple
T6324045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | République et Canton du Jura |
E141816
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Basse-Allaine
Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
|
E584286
|
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: Basse-Allaine | Statement: [République et Canton du Jura, hasMunicipality, Basse-Allaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basse-Allaine Context triple: [République et Canton du Jura, hasMunicipality, Basse-Allaine]
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
C.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
D.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
E.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
- 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: Basse-Allaine Triple: [République et Canton du Jura, hasMunicipality, Basse-Allaine]
Generated description
Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basse-Allaine Target entity description: Basse-Allaine is a municipality in the predominantly rural, French-speaking canton of Jura in northwestern Switzerland.
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
C.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
D.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
E.
Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e538ac81908c5d7556513c2bc3 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e490472c8190b4ecc935bf03d01e |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e6347c108190bfdbad7c18880a37 |
completed | March 27, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6bb552c8190a092495b5ecb5b57 |
completed | March 27, 2026, 2:08 a.m. |
Created at: March 22, 2026, 4:29 p.m.