Triple
T18489878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbres de las Américas |
E451789
|
entity |
| Predicate | tipoDeParticipantes |
P6384
|
FINISHED |
| Object | Estados soberanos de las Américas |
—
|
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: Estados soberanos de las Américas | Statement: [Cumbres de las Américas, tipoDeParticipantes, Estados soberanos de las Américas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeParticipantes Context triple: [Cumbres de las Américas, tipoDeParticipantes, Estados soberanos de las Américas]
-
A.
participantType
chosen
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
B.
originalParticipantsType
Indicates the type or category of participants that were initially involved in an event, action, or relationship.
-
C.
supportsParticipantType
Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
-
D.
participationModel
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
E.
welcomesParticipantsOf
Indicates that one entity receives or greets the participants associated with another entity in a friendly or accepting manner.
- 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.