Triple
T22188242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi |
E548349
|
entity |
| Predicate | inIgboProverbialLore |
P132994
|
FINISHED |
| Object | featured in many Igbo 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: featured in many Igbo proverbs | Statement: [Chi, inIgboProverbialLore, featured in many Igbo proverbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inIgboProverbialLore Context triple: [Chi, inIgboProverbialLore, featured in many Igbo proverbs]
-
A.
meaningInIgbo
Indicates that one entity expresses or corresponds to the meaning of another entity specifically in the Igbo language.
-
B.
relatedProverb
Indicates that one entity is a proverb that is thematically or conceptually related to another entity.
-
C.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
D.
vernacularOf
Indicates that one language or dialect is the everyday, locally used form corresponding to another, more general or standard language.
-
E.
typicalPhrase
chosen
Indicates that the object is a phrase commonly or characteristically used in connection with the subject.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aab3d2c81908a3b5a5c127c4aac |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.