Triple
T2534489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyo Festival |
E56235
|
entity |
| Predicate | prohibition |
P272
|
FINISHED |
| Object | wearing of shoes by Eyo masqueraders |
—
|
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: wearing of shoes by Eyo masqueraders | Statement: [Eyo Festival, prohibition, wearing of shoes by Eyo masqueraders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prohibition Context triple: [Eyo Festival, prohibition, wearing of shoes by Eyo masqueraders]
-
A.
alcoholPolicy
Indicates the rules or restrictions governing the possession, sale, or consumption of alcohol in a given context.
-
B.
prohibits
chosen
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
C.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
-
D.
legalAbolition
Indicates that a law, practice, or legal status has been formally ended or revoked through an official legal process.
-
E.
drugPolicy
Indicates the rules, regulations, or guidelines governing the use, control, or management of drugs within a given context.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.