Triple
T23310151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Francis Church |
E590559
|
entity |
| Predicate | associatedDiseaseContext |
P147387
|
FINISHED |
| Object | Hansen's disease (leprosy) |
—
|
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: Hansen's disease (leprosy) | Statement: [St. Francis Church, associatedDiseaseContext, Hansen's disease (leprosy)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedDiseaseContext Context triple: [St. Francis Church, associatedDiseaseContext, Hansen's disease (leprosy)]
-
A.
diseaseContext
chosen
Indicates that the relationship or action occurs within, is influenced by, or is specifically relevant to a particular disease or pathological condition.
-
B.
relatedDiseaseComplex
Indicates that there is a complex or multifaceted disease relationship between the associated entities, often involving multiple conditions, factors, or mechanisms.
-
C.
associatedDiseaseAgentType
Indicates the type or category of disease-causing agent that is associated with a given disease or condition.
-
D.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
E.
basedOnDisease
Indicates that something (such as a decision, classification, or action) is determined or derived on the basis of a particular disease or disease-related information.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:05 p.m.