Triple
T25380409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Guinea |
E631370
|
entity |
| Predicate | differenceFromFlagOfMali |
P35386
|
FINISHED |
| Object | reversed color order |
—
|
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: reversed color order | Statement: [flag of Guinea, differenceFromFlagOfMali, reversed color order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromFlagOfMali Context triple: [flag of Guinea, differenceFromFlagOfMali, reversed color order]
-
A.
differenceFromFlagOfIvoryCoast
chosen
Indicates how something differs in design, color, or pattern from the national flag of Ivory Coast.
-
B.
differenceFromFlagOfQatar
Indicates that something is characterized by how it differs from the flag of Qatar.
-
C.
differenceFromFlagOfNetherlands
Indicates that something is being compared to the flag of the Netherlands in terms of how it differs from that flag.
-
D.
distinguishedFromFlagOfIrelandBy
Indicates that something is differentiated from the flag of Ireland by a specific distinguishing feature or set of features.
-
E.
isOnFlagOf
Indicates that something (typically a symbol, image, or design element) appears on or is depicted on a flag.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f55e5f1de481909f199ed638e0d9ab |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:46 p.m.