Triple
T10171192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Eurasia |
E235333
|
entity |
| Predicate | containsMajorityOfWorldPopulation |
P1880
|
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, containsMajorityOfWorldPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMajorityOfWorldPopulation Context triple: [Afro-Eurasia, containsMajorityOfWorldPopulation, true]
-
A.
coversShareOfWorldPopulation
chosen
Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
-
B.
hasLargestCountryByPopulation
Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
-
C.
countryWithSignificantPopulation
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
D.
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.
-
E.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
- 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.