Triple
T37459219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fel Reaver |
E930875
|
entity |
| Predicate | healthType |
P188949
|
FINISHED |
| Object | Base health |
—
|
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: Base health | Statement: [Fel Reaver, healthType, Base health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthType Context triple: [Fel Reaver, healthType, Base health]
-
A.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
B.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
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.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
-
E.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 3, 2026, 4:17 p.m.