Triple
T21499782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPEAKING model of speech events |
E530445
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ethnographic framework |
C4496
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: ethnographic framework Context triple: [SPEAKING model of speech events, instanceOf, ethnographic framework]
-
A.
ethnographic text
An ethnographic text is a detailed written account that systematically describes and interprets the cultural practices, beliefs, and social interactions of a particular group, typically based on long-term, immersive fieldwork.
-
B.
anthropological theory
chosen
Anthropological theory is the body of conceptual frameworks and analytical perspectives that anthropologists use to interpret and explain human cultures, behaviors, social structures, and meanings across time and space.
-
C.
anthropological subject
An anthropological subject is any individual, group, or community that is observed, engaged with, and interpreted within anthropological research to understand cultural, social, and biological aspects of human life.
-
D.
anthropological survey
An anthropological survey is a systematic study that collects and analyzes data on human cultures, behaviors, and social structures, often through questionnaires, interviews, and observations across diverse communities.
-
E.
qualitative research approach
A qualitative research approach is a systematic method of inquiry that explores and interprets people’s experiences, meanings, and social contexts through non-numerical data such as interviews, observations, and texts.
- F. None of above.
Provenance (1 batch)
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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:24 p.m.