Triple
T19836560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuport 27 |
E476610
|
entity |
| Predicate | engineModel |
P2092
|
FINISHED |
| Object | Le Rhône 9J |
—
|
NE NERFINISHED |
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: Le Rhône 9J | Statement: [Nieuport 27, engineModel, Le Rhône 9J]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Rhône 9J Context triple: [Nieuport 27, engineModel, Le Rhône 9J]
-
A.
Le Rhône 9J
chosen
Le Rhône 9J is a widely used French nine-cylinder rotary aircraft engine of World War I, known for powering several iconic fighter planes.
-
B.
Gnome et Rhône
Gnome et Rhône was a prominent French manufacturer of aircraft engines and motorcycles, especially known for its influential rotary engines used in early aviation.
-
C.
Le Roeulx
Le Roeulx is a historic town in the province of Hainaut in Wallonia, Belgium, known for its castle, traditional architecture, and proximity to the Canal du Centre.
-
D.
Dauphiné
Dauphiné is a historical region in southeastern France, centered around Grenoble in the Alps, known for its role in French history and distinctive alpine culture.
-
E.
Val-de-Roulans
Val-de-Roulans is a small commune in eastern France, situated within the Bourgogne-Franche-Comté region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d275608190841b23de167c401e |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.