Triple
T33660405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R91 Charles de Gaulle |
E862334
|
entity |
| Predicate | airWingIncludes |
P175126
|
FINISHED |
| Object | Dassault Rafale M |
—
|
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: Dassault Rafale M | Statement: [R91 Charles de Gaulle, airWingIncludes, Dassault Rafale M]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airWingIncludes Context triple: [R91 Charles de Gaulle, airWingIncludes, Dassault Rafale M]
-
A.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
B.
hasWingIn
Indicates that an entity possesses a wing that is located in or contained within another specified entity or structure.
-
C.
airWingCarried
chosen
Indicates that an air wing is embarked on and transported by a specific carrier platform.
-
D.
airWingCapacity
Indicates the maximum number or volume of aircraft or air operations that an air wing can support or handle.
-
E.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
- F. None of above.
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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa36f640819098051eff7e5a5787 |
completed | May 3, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.