Triple
T28886372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayah Li script |
E732570
|
entity |
| Predicate | hasGraphemeInventory |
P27605
|
FINISHED |
| Object | small to medium-sized |
—
|
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: small to medium-sized | Statement: [Kayah Li script, hasGraphemeInventory, small to medium-sized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraphemeInventory Context triple: [Kayah Li script, hasGraphemeInventory, small to medium-sized]
-
A.
graphemeInventory
chosen
Indicates the set of distinct written symbols or characters used in a language or writing system.
-
B.
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).
-
C.
requiresGraphemeClusteringForUserCharacters
Indicates that correctly identifying user-perceived characters depends on applying grapheme clustering rules to the underlying text units.
-
D.
hasGraphemeShapeOrigin
Indicates that one grapheme’s shape is derived or originates from the shape of another grapheme or graphical form.
-
E.
hasNumberOfBasicCharacters
Indicates the quantity of basic (non-accented or fundamental) characters associated with an 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 7:50 a.m.