Triple
T33652717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS990 |
E862139
|
entity |
| Predicate | arrivalContinent |
P23314
|
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: [MS990, arrivalContinent, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalContinent Context triple: [MS990, arrivalContinent, Africa]
-
A.
continentOfDestination
chosen
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
B.
continentOfConclusion
Indicates that a given continent is the location or scope within which a particular conclusion, result, or outcome holds or is derived.
-
C.
continentOfResidence
Indicates the continent on which a given entity currently resides or is based.
-
D.
concludedOnContinent
Indicates that an event, process, or activity came to an end at a location situated on a specified continent.
-
E.
continentOfAdoption
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.