Triple
T16565019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramesses V |
E402437
|
entity |
| Predicate | healthEvidence |
P3650
|
FINISHED |
| Object | mummy shows signs of smallpox-like lesions |
—
|
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: mummy shows signs of smallpox-like lesions | Statement: [Ramesses V, healthEvidence, mummy shows signs of smallpox-like lesions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthEvidence Context triple: [Ramesses V, healthEvidence, mummy shows signs of smallpox-like lesions]
-
A.
healthRationale
Indicates the reasoning or justification behind an assessment, decision, or action related to health.
-
B.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
healthAuthority
Indicates that an entity serves as an official body responsible for overseeing, regulating, or managing health-related matters for another entity or within a specific jurisdiction.
-
D.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
E.
medicalBackground
Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e357711ea481909468147375051bb4 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.