Triple
T32407630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saba University School of Medicine |
E828125
|
entity |
| Predicate | graduatesEligibleFor |
P1130
|
FINISHED |
| Object | ECFMG certification |
—
|
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: ECFMG certification | Statement: [Saba University School of Medicine, graduatesEligibleFor, ECFMG certification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduatesEligibleFor Context triple: [Saba University School of Medicine, graduatesEligibleFor, ECFMG certification]
-
A.
graduates
Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
-
B.
eligibilityCriteria
chosen
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
-
C.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
D.
requiresGraduation
Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
-
E.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c24ca0f08190a5b2c1d32205eaee |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:53 a.m.