Triple
T23876119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isi-Uzo |
E592869
|
entity |
| Predicate | usesMajorLocalLanguage |
P115774
|
FINISHED |
| Object | Igbo |
—
|
NE NERFINISHED |
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: Igbo | Statement: [Isi-Uzo, usesMajorLocalLanguage, Igbo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMajorLocalLanguage Context triple: [Isi-Uzo, usesMajorLocalLanguage, Igbo]
-
A.
contrastsWithMajorityLanguage
Indicates that one language or linguistic feature is notably different from, and stands in opposition to, the dominant or majority language in a given context.
-
B.
usesLanguageFor
Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
-
C.
usesLocalLanguageVariant
Indicates that an entity employs a region-specific or localized form of a language rather than a standard or global variant.
-
D.
usedForMinorityLanguage
Indicates that something is employed or designated specifically for use with a minority language.
-
E.
languageUsedInLocality
chosen
Indicates that a particular language is used or spoken within a specific locality or geographic area.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.