Triple
T112082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Typhoon FGR4 |
E2269
|
entity |
| Predicate | designationSystem |
P1217
|
FINISHED |
| Object | British military aircraft designation system |
—
|
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: British military aircraft designation system | Statement: [Typhoon FGR4, designationSystem, British military aircraft designation system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationSystem Context triple: [Typhoon FGR4, designationSystem, British military aircraft designation system]
-
A.
hasIdentifierSystem
Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
-
B.
usesNamingSystem
chosen
Indicates that one entity adopts or applies a particular naming system or convention to identify or label other entities.
-
C.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
D.
deweyDecimalClassification
Indicates the Dewey Decimal System classification assigned to an item, expressing its subject-based placement within a library’s organizational scheme.
-
E.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256425a488190959d71e39e699d90 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.