Triple
T10258197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura |
E240527
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object | Poligny |
E683926
|
NE FINISHED |
How this triple was built (2 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: Poligny | Statement: [Jura, hasImportantTown, Poligny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poligny Context triple: [Jura, hasImportantTown, Poligny]
-
A.
Poligny
chosen
Poligny is a small town in France’s Jura department, known for its historic architecture and as a center of Comté cheese production.
-
B.
Potigny
Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Pougny
Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
-
D.
Pontigny
Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
-
E.
Commugny
Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74ff21edc8190b8b4a6967510a869 |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:31 a.m.