Triple
T906568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sopwith Pup |
E19560
|
entity |
| Predicate | typicalEngineType |
P2092
|
FINISHED |
| Object | Le Rhône 9C |
E105710
|
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: Le Rhône 9C | Statement: [Sopwith Pup, typicalEngineType, Le Rhône 9C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Rhône 9C Context triple: [Sopwith Pup, typicalEngineType, Le Rhône 9C]
-
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.
Durance River
The Durance River is a significant river in southeastern France that flows through the Alps and Provence before joining the Rhône.
-
C.
Ouvèze River
The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
-
D.
Rhône
Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
-
E.
Rhône River
The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c7391e6c8190836e8d7e7fdf9c93 |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.