Triple
T33904452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFMD Chair |
E869142
|
entity |
| Predicate | hasOrganizationalSupportFrom |
P155367
|
FINISHED |
| Object | GFMD Support Unit |
—
|
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: GFMD Support Unit | Statement: [GFMD Chair, hasOrganizationalSupportFrom, GFMD Support Unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganizationalSupportFrom Context triple: [GFMD Chair, hasOrganizationalSupportFrom, GFMD Support Unit]
-
A.
supportsOrganization
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
B.
hasSupervisingOrganization
Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
-
C.
hasInstitutionalSupport
chosen
Indicates that an entity receives backing, endorsement, or resources from an established institution or organization.
-
D.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: May 1, 2026, 1:48 a.m.