Triple
T35242229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mélanie Gouby |
E1017557
|
entity |
| Predicate | continentReportedIn |
P194388
|
FINISHED |
| Object | 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: Africa | Statement: [Mélanie Gouby, continentReportedIn, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentReportedIn Context triple: [Mélanie Gouby, continentReportedIn, Africa]
-
A.
reportedInCountry
Indicates that an event, case, or instance has been officially documented or reported within a specific country.
-
B.
countryReportsReviewed
Indicates that one entity has examined and evaluated official reports originating from a particular country.
-
C.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
D.
continentIncludes
Indicates that a particular continent geographically contains or encompasses a specified region, country, or area.
-
E.
continentStatus
Indicates the status or condition assigned to a continent, such as its current state, classification, or role within a given context.
- F. None of above. chosen
Provenance (4 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_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: May 3, 2026, 4:02 p.m.