Triple
T34440680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anioma dialects of Igbo |
E884085
|
entity |
| Predicate | researchSubjectIn |
P22069
|
FINISHED |
| Object | African linguistics |
—
|
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: African linguistics | Statement: [Anioma dialects of Igbo, researchSubjectIn, African linguistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchSubjectIn Context triple: [Anioma dialects of Igbo, researchSubjectIn, African linguistics]
-
A.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
usesResearchSubject
chosen
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
C.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
D.
researchComponent
Indicates that an entity functions as a part or element within a broader research activity, project, or study.
-
E.
researchFocusSince
Indicates the point in time since which an entity has maintained a particular research focus or area of study.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719492e7c8190896aa9fc1d63708e |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.