Triple
T26201793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Republic of Afghanistan |
E655246
|
entity |
| Predicate | SAARCMembership |
P33823
|
FINISHED |
| Object | member of the South Asian Association for Regional Cooperation |
—
|
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: member of the South Asian Association for Regional Cooperation | Statement: [Islamic Republic of Afghanistan, SAARCMembership, member of the South Asian Association for Regional Cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SAARCMembership Context triple: [Islamic Republic of Afghanistan, SAARCMembership, member of the South Asian Association for Regional Cooperation]
-
A.
cafMember
chosen
Indicates that an entity is a member of a specific club, association, or formal group.
-
B.
sponsorChamber
Indicates the legislative chamber (such as a house or senate) in which a bill’s sponsor serves or through which the sponsor is formally associated.
-
C.
sharesSAUWith
Indicates that two entities are associated with, or make use of, the same Service Access Unit (SAU).
-
D.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
E.
membershipApplicationOf
Indicates that one entity is a membership application that is submitted for or associated with another entity (typically the applicant or organization).
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdba6248190b34176bc568e7697 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:48 p.m.