Triple
T6891061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish language in Ecuador |
E159045
|
entity |
| Predicate | usedByMajorityOfPopulation |
P21204
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Spanish language in Ecuador, usedByMajorityOfPopulation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByMajorityOfPopulation Context triple: [Spanish language in Ecuador, usedByMajorityOfPopulation, yes]
-
A.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
B.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
majorityStatusInCountry
Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
-
D.
usedByPopulation
Indicates that something is utilized or consumed by a specific population or group of people.
-
E.
majorityType
Indicates that one type or category constitutes more than half of the instances within a given set or context.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d92d45f08190a730b3842c95b521 |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.