Triple
T14245106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Djibouti |
E353110
|
entity |
| Predicate | hasAspectRatioWidth |
P1991
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Flag of Djibouti, hasAspectRatioWidth, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAspectRatioWidth Context triple: [Flag of Djibouti, hasAspectRatioWidth, 3]
-
A.
hasWidth
Indicates that an entity possesses a specific measurement or extent along its width dimension.
-
B.
aspectRatio
chosen
Indicates the proportional relationship between an entity’s width and its height.
-
C.
hasApproximateMaximumWidth
Indicates that an entity’s maximum width is known only approximately, rather than as an exact value.
-
D.
hasModernAspect
Indicates that something possesses characteristics, features, or qualities associated with modern or contemporary style, design, or thinking.
-
E.
proportionWidth
Indicates that one entity’s width is defined as a proportional (scaled) value relative to another reference width.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.