Triple
T16057458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Morocco |
E389519
|
entity |
| Predicate | pentagramType |
P34813
|
FINISHED |
| Object | interlaced five-pointed star |
—
|
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: interlaced five-pointed star | Statement: [Coat of arms of Morocco, pentagramType, interlaced five-pointed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pentagramType Context triple: [Coat of arms of Morocco, pentagramType, interlaced five-pointed star]
-
A.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
B.
lingamType
Indicates the specific type or classification of a lingam in the relationship or context being modeled.
-
C.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
D.
triskelionType
Indicates that one entity is classified as a specific type or variant of a triskelion.
-
E.
iconographyType
chosen
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.