Triple
T33415293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Karakalpakstan |
E855696
|
entity |
| Predicate | scriptOnEmblems |
P34700
|
FINISHED |
| Object | Cyrillic-based Karakalpak inscriptions (historically, where used) |
—
|
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: Cyrillic-based Karakalpak inscriptions (historically, where used) | Statement: [Flag of Karakalpakstan, scriptOnEmblems, Cyrillic-based Karakalpak inscriptions (historically, where used)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOnEmblems Context triple: [Flag of Karakalpakstan, scriptOnEmblems, Cyrillic-based Karakalpak inscriptions (historically, where used)]
-
A.
scriptNameOfEmblem
chosen
Indicates the name of the script or writing system used in the emblem.
-
B.
scriptOnMedal
Indicates that a particular script, inscription, or writing appears on a given medal.
-
C.
emblemUsedOn
Indicates that a particular emblem is applied to, displayed on, or used as a symbol on a specified object, surface, or medium.
-
D.
scriptOnFlag
Indicates that a script is attached to and/or executed when a specific flag or condition is set.
-
E.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 1:36 a.m.