Triple
T33431936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarati |
E856152
|
entity |
| Predicate | graphemicFeatures |
P6520
|
FINISHED |
| Object | use of tehtar-like diacritics for vowels |
—
|
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: use of tehtar-like diacritics for vowels | Statement: [Sarati, graphemicFeatures, use of tehtar-like diacritics for vowels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphemicFeatures Context triple: [Sarati, graphemicFeatures, use of tehtar-like diacritics for vowels]
-
A.
graphemicUnit
Indicates a relationship where one element functions as a basic written symbol or character unit within a writing system.
-
B.
graphemeInventory
Indicates the set of distinct written symbols or characters used in a language or writing system.
-
C.
linguisticFeature
chosen
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
D.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
E.
hasGraphemeToPhonemeRelation
Indicates a relationship where a written symbol or sequence of symbols (grapheme) is systematically associated with a corresponding sound or sequence of sounds (phoneme).
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e481b2308190b7959dcf7472834b |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.