Triple
T27948115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Away and Beyond |
E703345
|
entity |
| Predicate | continentOfPrimaryMarket |
P6191
|
FINISHED |
| Object | Africa |
—
|
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: Africa | Statement: [Away and Beyond, continentOfPrimaryMarket, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfPrimaryMarket Context triple: [Away and Beyond, continentOfPrimaryMarket, Africa]
-
A.
continentOfUse
chosen
Indicates the continent where something is primarily used or in effect.
-
B.
continentOfHomeCountry
Indicates that the specified continent is the one in which the referenced entity’s home country is located.
-
C.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
D.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
E.
continentOfResidence
Indicates the continent on which a given entity currently resides or is based.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 7:23 p.m.