Triple
T30670883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of North Rhine-Westphalia |
E780789
|
entity |
| Predicate | colourOrder |
P9079
|
FINISHED |
| Object | green-white-red |
—
|
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: green-white-red | Statement: [flag of North Rhine-Westphalia, colourOrder, green-white-red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colourOrder Context triple: [flag of North Rhine-Westphalia, colourOrder, green-white-red]
-
A.
stripeColorOrderTopToBottom
chosen
Indicates the sequence of stripe colors arranged vertically from the topmost stripe to the bottommost stripe.
-
B.
displayOrder
Indicates the sequence or position in which items should be presented or shown relative to one another.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
channelOrder
Indicates the sequence or priority assigned to channels relative to one another.
-
E.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b13a304819095432c1f76be1c6f |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:31 p.m.