Triple
T3116694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao script |
E65078
|
entity |
| Predicate | graphemeBase |
P23172
|
FINISHED |
| Object | consonant as syllable base |
—
|
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: consonant as syllable base | Statement: [Lao script, graphemeBase, consonant as syllable base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphemeBase Context triple: [Lao script, graphemeBase, consonant as syllable base]
-
A.
graphemeInventory
Indicates the set of distinct written symbols or characters used in a language or writing system.
-
B.
graphemicUnit
chosen
Indicates a relationship where one element functions as a basic written symbol or character unit within a writing system.
-
C.
hasPhonologicalBasisFor
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
D.
diacriticType
Indicates the specific kind or category of diacritic mark associated with a character or symbol.
-
E.
UnicodeStandardVersionIntroduced
Indicates the specific version of the Unicode Standard in which a given character, feature, or property was first introduced.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.