Triple
T28103136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaithi |
E710287
|
entity |
| Predicate | usedForScriptReformOrStandardization |
P74801
|
FINISHED |
| Object | no major modern standardization |
—
|
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: no major modern standardization | Statement: [Kaithi, usedForScriptReformOrStandardization, no major modern standardization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForScriptReformOrStandardization Context triple: [Kaithi, usedForScriptReformOrStandardization, no major modern standardization]
-
A.
scriptUsedForStandardization
chosen
Indicates that a particular writing system or script is employed as the standard reference form for normalizing or harmonizing text or data.
-
B.
wasGraduallyStandardizedIn
Indicates that something became standardized or uniform within a particular context through a gradual, step-by-step process over time.
-
C.
languageReform
Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
-
D.
laterStandardization
Indicates that one entity becomes standardized or formally established at a later time than another entity.
-
E.
writingSystemUsedSince
Indicates that a particular writing system has been in use starting from a specified point in time or period.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 9:06 p.m.