Triple
T6644308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivernais |
E150661
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Orléanais |
E291975
|
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: Orléanais | Statement: [Nivernais, borderedBy, Orléanais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orléanais Context triple: [Nivernais, borderedBy, Orléanais]
-
A.
Orléanais
chosen
Orléanais is a historical region of north-central France centered around the city of Orléans, known for its role in French royal history and the Loire Valley.
-
B.
Capet
Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
-
C.
Duchy of Orléans
The Duchy of Orléans was a prominent French peerage and territorial domain traditionally granted to close relatives of the king, whose holders played major roles in the politics and succession of the French monarchy.
-
D.
Valois
Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
-
E.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
- 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.