Triple
T7519969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Baden-Württemberg |
E177743
|
entity |
| Predicate | orderOfStripes |
P77290
|
FINISHED |
| Object | black over gold |
—
|
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: black over gold | Statement: [flag of Baden-Württemberg, orderOfStripes, black over gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfStripes Context triple: [flag of Baden-Württemberg, orderOfStripes, black over gold]
-
A.
numberOfStripes
Indicates the count of distinct stripe markings associated with an entity.
-
B.
numberOfGoldStripes
Indicates the specific count of gold-colored stripes associated with an entity.
-
C.
orangeStripeRepresents
Indicates that an orange stripe symbolically stands for, denotes, or conveys the meaning of a particular concept, status, or entity.
-
D.
flankedByStripes
Indicates that an entity is positioned between or bordered on both sides by stripe-like elements.
-
E.
ribbonAdditionalStripes
Indicates that additional stripes are present on a ribbon beyond its primary or standard design.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f98ae48190946a18d7c2d33bcd |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f555455c81908850210bcad96ac2 |
completed | March 27, 2026, 9:23 p.m. |
Created at: March 27, 2026, 3:46 p.m.