Triple
T23219993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of North Macedonia |
E580860
|
entity |
| Predicate | rayCountToEdges |
P54633
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Flag of North Macedonia, rayCountToEdges, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayCountToEdges Context triple: [Flag of North Macedonia, rayCountToEdges, 8]
-
A.
numberOfRays
chosen
Indicates the count of rays associated with or emitted by a given entity.
-
B.
hasEdgeCount
Indicates that there is a specified number of edges associated with an entity, such as a graph or geometric shape.
-
C.
rayShape
Indicates that one entity is the geometric shape or form taken by a ray associated with another entity.
-
D.
edgesInMinimalTriangulation
Indicates that the specified edges are exactly those that appear in at least one minimal triangulation (chordal completion with the fewest added edges) of a given graph.
-
E.
rayPattern
Indicates a relationship where something displays or follows a radiating, ray-like arrangement or distribution from a central point.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:08 p.m.