Triple
T10260065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Cyprus |
E240570
|
entity |
| Predicate | reasonForColorChoice |
P3364
|
FINISHED |
| Object | to avoid association with Greek and Turkish national colors |
—
|
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: to avoid association with Greek and Turkish national colors | Statement: [Flag of Cyprus, reasonForColorChoice, to avoid association with Greek and Turkish national colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForColorChoice Context triple: [Flag of Cyprus, reasonForColorChoice, to avoid association with Greek and Turkish national colors]
-
A.
jerseyColorReason
Indicates the reason or basis for why an entity has a particular jersey color.
-
B.
reasonForDesign
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
-
C.
colorationCause
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
D.
selectionReason
chosen
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.