Triple
T6644306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivernais |
E150661
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bourbonnais |
E27574
|
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: Bourbonnais | Statement: [Nivernais, borderedBy, Bourbonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bourbonnais Context triple: [Nivernais, borderedBy, Bourbonnais]
-
A.
Bourbonnais
chosen
Bourbonnais is a historic province in central France that once formed the heartland of the powerful Bourbon family’s domains.
-
B.
Bourbonnais, Illinois
Bourbonnais, Illinois is a village in Kankakee County known for its suburban character, proximity to Kankakee, and role as home to Olivet Nazarene University.
-
C.
Gravois Arm
Gravois Arm is a major cove-like extension of Missouri’s Lake of the Ozarks known for its waterfront homes, boating, and recreational activities.
-
D.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
E.
St.-Charles
St.-Charles is a small rural municipality in Ontario, Canada, located within the Sudbury District and known for its natural surroundings and outdoor recreation.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01a53388190a31f6624d6f60faa |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef22e58819097bd6533c157d454 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.