Triple
T18489872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbres de las Américas |
E451789
|
entity |
| Predicate | nivelDeParticipación |
P3669
|
FINISHED |
| Object | multilateral |
—
|
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: multilateral | Statement: [Cumbres de las Américas, nivelDeParticipación, multilateral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nivelDeParticipación Context triple: [Cumbres de las Américas, nivelDeParticipación, multilateral]
-
A.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
B.
engagementLevel
chosen
Indicates the degree or intensity of involvement, interest, or participation one entity has in relation to another entity, activity, or context.
-
C.
typeOfInvolvement
Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
-
D.
participationModel
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
E.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d9d75081908e81fbccf6896bbc |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.