Triple
T35140309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IOM Member States |
E1014685
|
entity |
| Predicate | geographicallySpan |
P191041
|
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: [IOM Member States, geographicallySpan, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicallySpan Context triple: [IOM Member States, geographicallySpan, Africa]
-
A.
geographicallyDispersedWithin
Indicates that the members or components of an entity are spread out across multiple locations within a specified geographic area or boundary.
-
B.
geographicCoverageType
Indicates the type or nature of the geographic area that something covers or applies to.
-
C.
geographicScopeDiscussed
Indicates that the discussion or content addresses, covers, or pertains to a particular geographic area or region.
-
D.
geographicallySeparatedFrom
Indicates that two places or regions are distinct and apart from each other in physical location or geographic space.
-
E.
baySpanned
Indicates that a structure or feature extends across and covers the width of a bay.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 3, 2026, 4:02 p.m.