Triple
T29478049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central American Zone |
E747703
|
entity |
| Predicate | includesAssociationMember |
P134549
|
FINISHED |
| Object | Costa Rica |
—
|
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: Costa Rica | Statement: [Central American Zone, includesAssociationMember, Costa Rica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAssociationMember Context triple: [Central American Zone, includesAssociationMember, Costa Rica]
-
A.
includeMember
chosen
Indicates that one entity contains or has another entity as a member or part of its composition.
-
B.
hasAssociateMember
Indicates that an entity has another entity connected to it in a non-full, typically limited or secondary, membership capacity.
-
C.
includedMembersOf
Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
-
D.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
E.
endedAssociationWith
Indicates that a previously existing association or relationship between two entities has been terminated or discontinued.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: April 28, 2026, 4:01 p.m.