Triple
T24967767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu zone F |
E624794
|
entity |
| Predicate | usedInLinguisticResearch |
P29095
|
FINISHED |
| Object | comparative Bantu studies |
—
|
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: comparative Bantu studies | Statement: [Bantu zone F, usedInLinguisticResearch, comparative Bantu studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLinguisticResearch Context triple: [Bantu zone F, usedInLinguisticResearch, comparative Bantu studies]
-
A.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
B.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
C.
linguisticContribution
Indicates that one entity provides or constitutes a meaningful addition to language use, such as information, expression, or structure, within a communicative context.
-
D.
linguisticUsage
Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
-
E.
linguisticField
chosen
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6 a.m.