Triple
T7309958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashto alphabet |
E168064
|
entity |
| Predicate | hasRegionalOrthographicStandards |
P67410
|
FINISHED |
| Object | Afghan Pashto orthography |
—
|
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: Afghan Pashto orthography | Statement: [Pashto alphabet, hasRegionalOrthographicStandards, Afghan Pashto orthography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalOrthographicStandards Context triple: [Pashto alphabet, hasRegionalOrthographicStandards, Afghan Pashto orthography]
-
A.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
B.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
-
C.
hasPhonologicalStandard
Indicates that one entity serves as the accepted or prescribed phonological norm or standard for the pronunciation system of another entity.
-
D.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
E.
hasOrthographicConvention
chosen
Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebdbd6f481908e69e53dab452656 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.