Triple
T12355653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg flag |
E294605
|
entity |
| Predicate | colourDifferenceFromDutchFlag |
P69027
|
FINISHED |
| Object | lighter blue |
—
|
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: lighter blue | Statement: [Luxembourg flag, colourDifferenceFromDutchFlag, lighter blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colourDifferenceFromDutchFlag Context triple: [Luxembourg flag, colourDifferenceFromDutchFlag, lighter blue]
-
A.
differenceFromFlagOfNetherlands
chosen
Indicates that something is being compared to the flag of the Netherlands in terms of how it differs from that flag.
-
B.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
C.
isVerticalTricolour
Indicates that something consists of three distinct coloured sections arranged in vertical bands.
-
D.
similarToFlagOf
Indicates that one entity’s flag resembles or closely matches the design, colors, or symbols of another entity’s flag.
-
E.
usesColorDifferenceSignals
Indicates that one entity employs differences in color as signals to convey information or communicate.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.