Triple
T28718493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth (Elysium universe) |
E730025
|
entity |
| Predicate | publicHealthCondition |
P129457
|
FINISHED |
| Object | high disease burden |
—
|
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: high disease burden | Statement: [Earth (Elysium universe), publicHealthCondition, high disease burden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicHealthCondition Context triple: [Earth (Elysium universe), publicHealthCondition, high disease burden]
-
A.
healthType
Indicates the specific category or classification of health status or condition associated with an entity.
-
B.
clinicalCondition
chosen
Indicates that one entity has, exhibits, or is associated with a particular medical or health-related condition described by the other entity.
-
C.
healthAdvisory
Indicates that one entity issues or is associated with guidance, warnings, or recommendations about health-related risks, conditions, or behaviors affecting another entity or population.
-
D.
publicHealthResponse
Indicates actions and measures taken by authorities or organizations to prevent, control, or mitigate health threats within a population.
-
E.
publicHealthDomain
Indicates that something is related to, situated within, or primarily concerned with the field of public health.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 5:52 a.m.