Triple
T4689881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strategic Advisory Group of Experts on Immunization |
E104007
|
entity |
| Predicate | focusDuringEvent |
P31
|
FINISHED |
| Object | COVID-19 vaccination |
—
|
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: COVID-19 vaccination | Statement: [Strategic Advisory Group of Experts on Immunization, focusDuringEvent, COVID-19 vaccination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusDuringEvent Context triple: [Strategic Advisory Group of Experts on Immunization, focusDuringEvent, COVID-19 vaccination]
-
A.
focusMechanism
Indicates the method or process by which attention or emphasis is directed toward a particular entity or aspect within a context.
-
B.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
C.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
-
E.
focusAfterTransition
Indicates that focus is moved to a specific element or area after a transition or state change has completed.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.