Triple
T6771718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guthrie classification of Niger-Congo |
E155058
|
entity |
| Predicate | primaryScope |
P19488
|
FINISHED |
| Object | Bantu branch of Niger-Congo |
—
|
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: Bantu branch of Niger-Congo | Statement: [Guthrie classification of Niger-Congo, primaryScope, Bantu branch of Niger-Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScope Context triple: [Guthrie classification of Niger-Congo, primaryScope, Bantu branch of Niger-Congo]
-
A.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
B.
primaryRealm
Indicates that one entity is the main or principal realm, domain, or sphere of activity associated with another entity.
-
C.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
D.
primaryReferent
Indicates that one entity is the main or most salient referent associated with another entity among potentially multiple candidates.
-
E.
primaryArea
chosen
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.