Triple
T35242230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mélanie Gouby |
E1017557
|
entity |
| Predicate | regionReportedIn |
P189994
|
FINISHED |
| Object | Central 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: Central Africa | Statement: [Mélanie Gouby, regionReportedIn, Central Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionReportedIn Context triple: [Mélanie Gouby, regionReportedIn, Central Africa]
-
A.
continentReportedIn
Indicates that information about a continent is documented, mentioned, or recorded within a specified source or report.
-
B.
reportedRegion
chosen
Indicates that a specified region is the one referenced or identified in a report or reporting context.
-
C.
reportedInCountry
Indicates that an event, case, or instance has been officially documented or reported within a specific country.
-
D.
regionDiscoveredIn
Indicates the geographic or administrative region where something was first discovered or found.
-
E.
regionRecord
Indicates that a record or entry is associated with, belongs to, or is stored for a particular geographic or administrative 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
Created at: May 3, 2026, 4:02 p.m.