Triple
T28514186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Amhara Region |
E721569
|
entity |
| Predicate | scriptUsedInEmblem |
P34700
|
FINISHED |
| Object | Geʽez script |
—
|
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: Geʽez script | Statement: [Flag of Amhara Region, scriptUsedInEmblem, Geʽez script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInEmblem Context triple: [Flag of Amhara Region, scriptUsedInEmblem, Geʽez script]
-
A.
scriptNameOfEmblem
chosen
Indicates the name of the script or writing system used in the emblem.
-
B.
emblemUsedBy
Indicates that a particular emblem is adopted or employed by a specific entity as its symbol or identifying mark.
-
C.
emblemUsedIn
Indicates that a particular emblem is utilized or displayed within a specific context, setting, or medium.
-
D.
emblemGlyphUsedAt
Indicates that a particular emblem glyph is utilized or displayed at a specific location, context, or point in time.
-
E.
scriptUsedInSignage
Indicates that a particular writing system or script is employed in the text or graphics of a sign or signage.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 3:15 a.m.