Triple
T13367651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abjad |
E318980
|
entity |
| Predicate | graphemicInventoryFocus |
P40496
|
FINISHED |
| Object | consonantal phonemes |
—
|
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: consonantal phonemes | Statement: [Abjad, graphemicInventoryFocus, consonantal phonemes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphemicInventoryFocus Context triple: [Abjad, graphemicInventoryFocus, consonantal phonemes]
-
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
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.
orthographicIndependence
Indicates that one writing system or orthographic form functions independently of, and is not derived from or constrained by, another.
-
E.
hasPhonologicalBasisFor
chosen
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.