Triple
T6489769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saint Vincent and the Grenadines |
E148005
|
entity |
| Predicate | greenStripePosition |
P71030
|
FINISHED |
| Object | fly side |
—
|
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: fly side | Statement: [Flag of Saint Vincent and the Grenadines, greenStripePosition, fly side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenStripePosition Context triple: [Flag of Saint Vincent and the Grenadines, greenStripePosition, fly side]
-
A.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
B.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
C.
yellowStripeWidthRatio
Indicates the proportional width of a yellow stripe relative to a reference dimension (such as the total width or height of the object it appears on).
-
D.
orangeStripeRepresents
Indicates that an orange stripe symbolically stands for, denotes, or conveys the meaning of a particular concept, status, or entity.
-
E.
ribbonStripeColor
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9926fc81909db0f390e385e97d |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067f1ef148190bc0355abe83f7e16 |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:52 p.m.