Triple
T4996143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiga people |
E112249
|
entity |
| Predicate | healthPractice |
P7500
|
FINISHED |
| Object | traditional healing |
—
|
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: traditional healing | Statement: [Baiga people, healthPractice, traditional healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthPractice Context triple: [Baiga people, healthPractice, traditional healing]
-
A.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
B.
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.
-
C.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
D.
healthcareType
chosen
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
E.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.