Triple
T34592496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun of Kurdistan |
E888221
|
entity |
| Predicate | scriptMeaningOfNumberOfRays |
P192089
|
FINISHED |
| Object | 21 as significant number in Kurdish and regional traditions |
—
|
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: 21 as significant number in Kurdish and regional traditions | Statement: [Sun of Kurdistan, scriptMeaningOfNumberOfRays, 21 as significant number in Kurdish and regional traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptMeaningOfNumberOfRays Context triple: [Sun of Kurdistan, scriptMeaningOfNumberOfRays, 21 as significant number in Kurdish and regional traditions]
-
A.
numberOfRays
Indicates the count of rays associated with or emitted by a given entity.
-
B.
sunRayCount
Indicates the number of sun rays associated with or emitted by a given entity or instance.
-
C.
hasRayTypes
Indicates that an entity possesses or is associated with specific types or categories of rays.
-
D.
numberOfLaserBeams
Indicates the quantity of laser beams associated with or produced by an entity in a given context.
-
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. chosen
Provenance (4 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 1, 2026, 2:03 a.m.