Triple
T22050266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nüshu |
E544863
|
entity |
| Predicate | numberOfBasicSyllables |
P80978
|
FINISHED |
| Object | approximately 600 |
—
|
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: approximately 600 | Statement: [Nüshu, numberOfBasicSyllables, approximately 600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBasicSyllables Context triple: [Nüshu, numberOfBasicSyllables, approximately 600]
-
A.
hasSyllableCount
Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
-
B.
languageOfSyllables
Indicates a relationship where a language is characterized or defined by the specific set or system of syllables it uses.
-
C.
numberOfSyllabicSignsApprox
chosen
Indicates an approximate count of syllabic signs associated with an entity.
-
D.
usesSyllables
Indicates that one entity forms, expresses, or analyzes something by employing syllables as its basic units.
-
E.
hasSyllabicStructure
Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128323fb08190b9592fd08a96cba0 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.