Triple
T22295251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Kyrgyzstan |
E551099
|
entity |
| Predicate | rayArrangement |
P147963
|
FINISHED |
| Object | evenly spaced around the sun |
—
|
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: evenly spaced around the sun | Statement: [Flag of Kyrgyzstan, rayArrangement, evenly spaced around the sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayArrangement Context triple: [Flag of Kyrgyzstan, rayArrangement, evenly spaced around the sun]
-
A.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
B.
rayComposition
Indicates that one ray is formed by the sequential combination or continuation of another ray.
-
C.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
D.
cellArrangement
Indicates how cells are organized or positioned relative to each other within a structure or system.
-
E.
cylinderArrangement
Indicates how multiple cylinders are positioned or organized relative to one another.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1571fe76c8190a40b3679802a5475 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e75dc7b08081909d64441e979c2fa4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 8:41 p.m.