Triple
T6929035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan Air Force |
E160385
|
entity |
| Predicate | hasEmblemElement |
P73721
|
FINISHED |
| Object | Afghan national colors |
—
|
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: Afghan national colors | Statement: [Afghan Air Force, hasEmblemElement, Afghan national colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmblemElement Context triple: [Afghan Air Force, hasEmblemElement, Afghan national colors]
-
A.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
B.
emblemStatus
Indicates the current state or condition of an emblem, such as whether it is active, valid, displayed, or in use.
-
C.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
D.
definesEmblem
Indicates that one entity specifies or establishes the official emblem associated with another entity.
-
E.
emblemUsedBy
Indicates that a particular emblem is adopted or employed by a specific entity as its symbol or identifying mark.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1de28881908579bc198e74203e |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.