Triple
T6489767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saint Vincent and the Grenadines |
E148005
|
entity |
| Predicate | blueStripePosition |
P35384
|
FINISHED |
| Object | hoist 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: hoist side | Statement: [Flag of Saint Vincent and the Grenadines, blueStripePosition, hoist side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blueStripePosition Context triple: [Flag of Saint Vincent and the Grenadines, blueStripePosition, hoist side]
-
A.
blueStripeProportion
Indicates the proportion of an entity’s surface or area that is covered by a blue stripe relative to its total extent.
-
B.
leftStripeColour
chosen
Indicates that an entity has a stripe on its left side with a specified colour.
-
C.
bottomStripeColor
Indicates the color that appears on the bottom stripe portion of an object or design.
-
D.
ribbonStripeColor
Indicates the color of a stripe on a ribbon in the relationship or depiction being described.
-
E.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
- 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_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. |
Created at: March 22, 2026, 4:52 p.m.