Triple
T38488608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mole-Dagbani languages |
E917988
|
entity |
| Predicate | neighboringCountries |
P109543
|
FINISHED |
| Object | Burkina Faso |
—
|
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: Burkina Faso | Statement: [Mole-Dagbani languages, neighboringCountries, Burkina Faso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringCountries Context triple: [Mole-Dagbani languages, neighboringCountries, Burkina Faso]
-
A.
geopoliticalNeighbors
Indicates that two geopolitical entities share a common border or are directly adjacent to each other territorially.
-
B.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
-
C.
neighboringCountryBySea
Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
-
D.
geographicNeighbors
chosen
Indicates that two geographic entities share a common boundary or are directly adjacent to each other in space.
-
E.
geographicallyAdjacentTo
Indicates that two geographic entities share a common boundary or are directly next to each other in space.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:31 p.m.