Triple
T13643642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Laos |
E326045
|
entity |
| Predicate | stripeWidthPattern |
P106117
|
FINISHED |
| Object | 1:2:1 |
—
|
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: 1:2:1 | Statement: [Flag of Laos, stripeWidthPattern, 1:2:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripeWidthPattern Context triple: [Flag of Laos, stripeWidthPattern, 1:2:1]
-
A.
hasStripePattern
Indicates that one entity exhibits a stripe-like visual pattern on its surface or body.
-
B.
hasStripeWidth
chosen
Indicates that one entity possesses stripes characterized by a specified width.
-
C.
stripePattern
Indicates that one entity has a stripe-based visual pattern or design in relation to another entity or context.
-
D.
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).
-
E.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5ac2af88190976abe6606994eef |
completed | April 12, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.