Triple
T11421997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aérospatiale AS 550 Fennec |
E270644
|
entity |
| Predicate | developedFromCivilModel |
P99225
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Aérospatiale AS 550 Fennec, developedFromCivilModel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedFromCivilModel Context triple: [Aérospatiale AS 550 Fennec, developedFromCivilModel, yes]
-
A.
developedFrom
Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
-
B.
laterCivilization
Indicates that one civilization arose or existed chronologically after another civilization.
-
C.
foundingModelledOn
Indicates that the founding or establishment of one entity is based on, inspired by, or patterned after the founding model or principles of another entity.
-
D.
historicallyDevelopedWith
Indicates that one entity evolved, emerged, or was formed over time in conjunction with or as a result of the development of another entity.
-
E.
hasCivilization
Indicates that an entity possesses, hosts, or is associated with an organized society or culture characterized by social, political, and technological development.
- F. None of above. chosen
Provenance (4 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.