Triple
T29804995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Cama |
E756816
|
entity |
| Predicate | achievedPopularity |
P152493
|
FINISHED |
| Object | Latin America |
—
|
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: Latin America | Statement: [Mi Cama, achievedPopularity, Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: achievedPopularity Context triple: [Mi Cama, achievedPopularity, Latin America]
-
A.
achievedPopularityIn
chosen
Indicates that an entity became popular or widely recognized within a specified place, group, or context.
-
B.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
C.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
D.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
E.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675295a008190a97eebccb578ce81 |
completed | May 2, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:20 p.m.