Triple
T12715197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owerri West |
E303817
|
entity |
| Predicate | hasLocalLanguageDialect |
P84576
|
FINISHED |
| Object | Owerri Igbo dialect |
—
|
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: Owerri Igbo dialect | Statement: [Owerri West, hasLocalLanguageDialect, Owerri Igbo dialect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalLanguageDialect Context triple: [Owerri West, hasLocalLanguageDialect, Owerri Igbo dialect]
-
A.
hasNumberOfDialects
Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
-
B.
usesLocalLanguageVariant
Indicates that an entity employs a region-specific or localized form of a language rather than a standard or global variant.
-
C.
hasDialectsIn
Indicates that a language or linguistic variety possesses distinct dialects that are used or found within a specified region or context.
-
D.
hasLinguisticVariety
chosen
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
E.
hasLanguageOfSurroundingCountries
Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.