Triple
T21418146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sissala |
E528359
|
entity |
| Predicate | oralForm |
P6196
|
FINISHED |
| Object | proverbs |
—
|
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: proverbs | Statement: [Sissala, oralForm, proverbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oralForm Context triple: [Sissala, oralForm, proverbs]
-
A.
spokenForm
chosen
Indicates the way something is pronounced or expressed in spoken language, as opposed to its written or symbolic form.
-
B.
isOralFormOf
Indicates that one entity is the oral (by-mouth) dosage form or version of another entity, typically a drug or medicinal product.
-
C.
vocalForm
Indicates the specific vocal or phonetic form in which something (such as a word, sound, or utterance) is expressed.
-
D.
naturalForm
Indicates that one entity is the inherent, unaltered, or original form or state of another entity.
-
E.
formalRealization
Indicates that an abstract work, plan, or design is concretely implemented or expressed in a specific formal product, version, or representation.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:46 p.m.