Triple
T22295265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Kyrgyzstan |
E551099
|
entity |
| Predicate | rayCountRepresents |
P54633
|
FINISHED |
| Object | forty Kyrgyz tribes |
—
|
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: forty Kyrgyz tribes | Statement: [Flag of Kyrgyzstan, rayCountRepresents, forty Kyrgyz tribes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rayCountRepresents Context triple: [Flag of Kyrgyzstan, rayCountRepresents, forty Kyrgyz tribes]
-
A.
numberOfRays
chosen
Indicates the count of rays associated with or emitted by a given entity.
-
B.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
C.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
-
D.
tileCount
Indicates the number of tiles associated with or contained by a given entity or area.
-
E.
mirrorCount
Indicates the number of mirrors associated with or present in relation to a given entity or 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_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. |
Created at: April 16, 2026, 8:41 p.m.