Triple
T18815665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatian flag |
E460127
|
entity |
| Predicate | coatOfArmsTopLeftSquareColor |
P133523
|
FINISHED |
| Object | 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: red | Statement: [Croatian flag, coatOfArmsTopLeftSquareColor, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsTopLeftSquareColor Context triple: [Croatian flag, coatOfArmsTopLeftSquareColor, red]
-
A.
coatOfArmsBackgroundColor
Indicates the background color used in a coat of arms design.
-
B.
topLeftCantonColor
Indicates the color that appears in the top-left canton (corner section) of a flag or similar rectangular field.
-
C.
topLeftSquareColor
Indicates the color assigned to the square located at the top-left position in a grid or board.
-
D.
topRightCantonColor
Indicates the color that appears in the top-right canton (corner section) of a flag or similar rectangular field.
-
E.
heraldicColor
Indicates that one entity specifies or bears a particular heraldic color in a coat of arms or related heraldic context.
- F. None of above. chosen
Provenance (4 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:53 a.m.