Triple
T10171240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Eurasia |
E235333
|
entity |
| Predicate | containsMostSovereignStatesOnEarth |
P3810
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Afro-Eurasia, containsMostSovereignStatesOnEarth, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMostSovereignStatesOnEarth Context triple: [Afro-Eurasia, containsMostSovereignStatesOnEarth, true]
-
A.
hasLargestCountryByArea
Indicates that, among a set of compared entities, the subject is associated with the country that has the greatest land area.
-
B.
hasLargestCountryByPopulation
Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
-
C.
hasNumberOfRecognizedSovereignStates
chosen
Indicates the relationship that specifies how many internationally recognized sovereign states are associated with or contained within a given entity.
-
D.
hasSovereignState
Indicates that one entity is the sovereign state that has ultimate authority or jurisdiction over another entity.
-
E.
hasLargestPopulationOn
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.