Triple
T15207520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Botswana |
E363426
|
entity |
| Predicate | colorsTogetherRepresent |
P46606
|
FINISHED |
| Object | racial harmony between black and white people |
—
|
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: racial harmony between black and white people | Statement: [Flag of Botswana, colorsTogetherRepresent, racial harmony between black and white people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorsTogetherRepresent Context triple: [Flag of Botswana, colorsTogetherRepresent, racial harmony between black and white people]
-
A.
simultaneousColors
Indicates that two or more color-related events or states occur at the same time.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
sharesColorsWith
Indicates that two entities have one or more colors in common.
-
D.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
E.
colorHasMeaning
chosen
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:11 a.m.