Triple
T6228830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of the Netherlands (tricolour concept) |
E139301
|
entity |
| Predicate | colourArrangement |
P46737
|
FINISHED |
| Object | 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: horizontal stripes | Statement: [flag of the Netherlands (tricolour concept), colourArrangement, horizontal stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colourArrangement Context triple: [flag of the Netherlands (tricolour concept), colourArrangement, horizontal stripes]
-
A.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
arrangementType
chosen
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
E.
needleArrangement
Indicates how needles are positioned or organized relative to each other 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d841a88190b67a8045cdaadf44 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.