Triple
T22349099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Yemen |
E552478
|
entity |
| Predicate | stateFlagVariantDesign |
P39487
|
FINISHED |
| Object | national flag defaced with the Yemeni coat of arms |
—
|
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: national flag defaced with the Yemeni coat of arms | Statement: [Flag of Yemen, stateFlagVariantDesign, national flag defaced with the Yemeni coat of arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateFlagVariantDesign Context triple: [Flag of Yemen, stateFlagVariantDesign, national flag defaced with the Yemeni coat of arms]
-
A.
designVariant
chosen
Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
-
B.
hasDifferentDesignsFor
Indicates that one entity provides or uses multiple distinct designs tailored for different other entities or contexts.
-
C.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
D.
designStatus
Indicates the current state or phase of progress for a design within its lifecycle.
-
E.
bandDesignation
Indicates that one entity is formally assigned or labeled as belonging to a particular band, group, or category.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.