Triple
T22246066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Arizona |
E549843
|
entity |
| Predicate | representsOnRays |
P50432
|
FINISHED |
| Object | 13 original colonies of the United States |
—
|
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: 13 original colonies of the United States | Statement: [Flag of Arizona, representsOnRays, 13 original colonies of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsOnRays Context triple: [Flag of Arizona, representsOnRays, 13 original colonies of the United States]
-
A.
numberOfRays
Indicates the count of rays associated with or emitted by a given entity.
-
B.
rayShape
Indicates that one entity is the geometric shape or form taken by a ray associated with another entity.
-
C.
rayPattern
chosen
Indicates a relationship where something displays or follows a radiating, ray-like arrangement or distribution from a central point.
-
D.
rayColor
Indicates the specific color value associated with a given ray in a rendering or optical context.
-
E.
representsPositionOn
Indicates that one entity specifies or defines the spatial or logical position of another entity within a given context.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.