Triple
T25649654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyasaland |
E643063
|
entity |
| Predicate | ethnicGroupsMajor |
P70558
|
FINISHED |
| Object | Tumbuka |
—
|
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: Tumbuka | Statement: [Nyasaland, ethnicGroupsMajor, Tumbuka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupsMajor Context triple: [Nyasaland, ethnicGroupsMajor, Tumbuka]
-
A.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
B.
ethnicGroupCountApprox
Indicates an approximate count of distinct ethnic groups associated with or present in a given entity.
-
C.
ethnicGroupOfCountry
chosen
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
D.
ethnicGroupSize
Indicates the number of individuals belonging to a particular ethnic group within a specified population or context.
-
E.
ethnicGroupInFocus
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 6:19 p.m.