Triple
T27845728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon-Nigeria borderlands |
E703815
|
entity |
| Predicate | dispersalZoneFor |
P163412
|
FINISHED |
| Object | Bantu languages |
—
|
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: Bantu languages | Statement: [Cameroon-Nigeria borderlands, dispersalZoneFor, Bantu languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dispersalZoneFor Context triple: [Cameroon-Nigeria borderlands, dispersalZoneFor, Bantu languages]
-
A.
dispersalUnit
Indicates the type or form of unit in which something (such as seeds, spores, or organisms) is spread or dispersed from one place to another.
-
B.
dispersalVector
Indicates the means or agent by which something (such as an organism, propagule, or substance) is spread or transported from one location to another.
-
C.
foragingZone
Indicates the area or region where an entity typically searches for and collects food.
-
D.
dispersalAbility
Indicates the capacity or effectiveness with which an entity can spread or be dispersed from one location to others.
-
E.
zonedTo
Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
- F. None of above. chosen
Provenance (4 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f638da9bcc8190b6064afb5bcf17ec |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 6:07 p.m.