Triple
T8004223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu K languages |
E186323
|
entity |
| Predicate | arealGroupOf |
P5147
|
FINISHED |
| Object | languages of the southeastern Democratic Republic of the 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: languages of the southeastern Democratic Republic of the Congo | Statement: [Bantu K languages, arealGroupOf, languages of the southeastern Democratic Republic of the Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arealGroupOf Context triple: [Bantu K languages, arealGroupOf, languages of the southeastern Democratic Republic of the Congo]
-
A.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
B.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
C.
regionalGrouping
chosen
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
D.
arealFeature
Indicates a relationship where something is characterized as a spatial or geographic feature occupying an area on a surface or map.
-
E.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf5fb588190ada4ec7d8087619c |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.