Triple
T18758325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Vernon Smith de Economía Experimental |
E458705
|
entity |
| Predicate | ofrece |
P16033
|
FINISHED |
| Object | cursos en economía experimental |
—
|
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: cursos en economía experimental | Statement: [Centro Vernon Smith de Economía Experimental, ofrece, cursos en economía experimental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ofrece Context triple: [Centro Vernon Smith de Economía Experimental, ofrece, cursos en economía experimental]
-
A.
offering
Indicates that one entity presents or provides something to another entity, typically as a gift, contribution, or proposal.
-
B.
offeredOver
Indicates that one entity has been proposed, presented, or made available to another entity as an option or opportunity.
-
C.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
-
D.
off
Indicates that one entity is separated from, away from, or no longer attached to another entity or reference point.
-
E.
offeredService
chosen
Indicates that one entity has provided or made available a service to another entity.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.