Triple
T12631327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Mecklenburg-Vorpommern |
E301647
|
entity |
| Predicate | hasStripePattern |
P106116
|
FINISHED |
| Object | five horizontal stripes |
—
|
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: five horizontal stripes | Statement: [flag of Mecklenburg-Vorpommern, hasStripePattern, five horizontal stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStripePattern Context triple: [flag of Mecklenburg-Vorpommern, hasStripePattern, five horizontal stripes]
-
A.
hasStripeColor
Indicates that an entity possesses stripes of a specified color.
-
B.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
C.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
D.
ribbonHasStripe
Indicates that a ribbon features one or more stripes as part of its pattern or design.
-
E.
usesTricolorPattern
Indicates that an entity employs a three-color pattern as a defining or characteristic design element.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:15 p.m.