Triple
T17262431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi people |
E419038
|
entity |
| Predicate | traditionalSpecialist |
P108232
|
FINISHED |
| Object | bimo priest |
—
|
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: bimo priest | Statement: [Yi people, traditionalSpecialist, bimo priest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalSpecialist Context triple: [Yi people, traditionalSpecialist, bimo priest]
-
A.
practicedMedicineOfTradition
chosen
Indicates that an entity engaged in the medical practices or healing methods associated with a particular cultural or traditional system.
-
B.
traditionalCareBy
Indicates that one entity receives traditional or culturally rooted care, treatment, or support from another entity.
-
C.
traditionalSee
Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
-
D.
primaryPractitioners
Indicates the entities that are the main or most directly responsible practitioners of a given activity, field, or practice in relation to another entity.
-
E.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.