Triple
T30202174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mano |
E767809
|
entity |
| Predicate | regionOfGuinea |
P195724
|
FINISHED |
| Object | Forest Region of Guinea |
—
|
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: Forest Region of Guinea | Statement: [Mano, regionOfGuinea, Forest Region of Guinea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfGuinea Context triple: [Mano, regionOfGuinea, Forest Region of Guinea]
-
A.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
B.
nearbyAdministrativeDivision_EquatorialGuinea
Indicates that one administrative division is geographically close to another administrative division within Equatorial Guinea.
-
C.
primaryRegionInBurkinaFaso
Indicates that a region is the main or primary administrative region associated with a given entity within Burkina Faso.
-
D.
locatedInWesternAfrica
Indicates that the subject is geographically situated within the region of Western Africa.
-
E.
CEMACMember
Indicates that an entity is a member state or participant within the Central African Economic and Monetary Community (CEMAC).
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: April 29, 2026, 7:31 p.m.