Triple
T33831448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opuuo |
E867111
|
entity |
| Predicate | spokenInBorderRegion |
P109887
|
FINISHED |
| Object | Ethiopia–South Sudan border region |
—
|
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: Ethiopia–South Sudan border region | Statement: [Opuuo, spokenInBorderRegion, Ethiopia–South Sudan border region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInBorderRegion Context triple: [Opuuo, spokenInBorderRegion, Ethiopia–South Sudan border region]
-
A.
spokenInNeighboringRegionsOf
Indicates that a language or speech variety is used in regions that geographically border the primary region associated with another language or entity.
-
B.
spokenInLocality
chosen
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
-
C.
spokenInRuralAreasOf
Indicates that something (typically a language, dialect, or speech variety) is used or spoken primarily in the rural areas of a specified region or country.
-
D.
borderDialectOf
Indicates a dialect that is spoken in a border area and is linguistically associated with or derived from a particular neighboring language or dialect.
-
E.
locatedNearStateBorderWith
Indicates that one entity is situated geographically close to the border of a specified state.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:46 a.m.