Triple
T15952750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo 2020 Summer Paralympics |
E386855
|
entity |
| Predicate | majorHealthMeasures |
P109970
|
FINISHED |
| Object | COVID-19 countermeasures |
—
|
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 countermeasures | Statement: [Tokyo 2020 Summer Paralympics, majorHealthMeasures, COVID-19 countermeasures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorHealthMeasures Context triple: [Tokyo 2020 Summer Paralympics, majorHealthMeasures, COVID-19 countermeasures]
-
A.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
-
B.
healthTheme
chosen
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
C.
concernsMeasure
Indicates that something is about or relates specifically to a particular quantitative measure or measurement.
-
D.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
E.
publicHealthSignificance
Indicates that something has importance, impact, or relevance for the health of the public or population at large.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.