Triple
T37764128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Douyon |
E941365
|
entity |
| Predicate | regionOfLinguisticResearch |
P17400
|
FINISHED |
| Object | West Africa |
—
|
NE NERFINISHED |
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: West Africa | Statement: [Denis Douyon, regionOfLinguisticResearch, West Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfLinguisticResearch Context triple: [Denis Douyon, regionOfLinguisticResearch, West Africa]
-
A.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
B.
linguisticArea
chosen
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
C.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
D.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
E.
regionOfDialectContinuum
Indicates that a dialect continuum is associated with, or occurs within, a specific geographic region.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0076c0a5c4819088b17b95511b93ed |
completed | May 10, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_6a007638a67c81909c091335142260ab |
completed | May 10, 2026, 12:12 p.m. |
Created at: May 3, 2026, 4:19 p.m.