Triple
T2731476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Basin |
E60323
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | French Guiana |
E29075
|
NE 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: French Guiana | Statement: [Amazon Basin, country, French Guiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Guiana Context triple: [Amazon Basin, country, French Guiana]
-
A.
French Guiana
chosen
French Guiana is a sparsely populated territory on the northeastern coast of South America known for its Amazonian rainforest and the European spaceport at Kourou.
-
B.
French Guinea
French Guinea was a former French colonial territory in West Africa that later became the independent nation of Guinea.
-
C.
Guadeloupe
Guadeloupe is a Caribbean archipelago that forms an overseas region and department of France, known for its blend of French and Creole culture, volcanic landscapes, and beaches.
-
D.
Guianas
The Guianas is a region on the northeastern coast of South America comprising Guyana, Suriname, French Guiana, and sometimes adjacent areas, known for its dense rainforests and cultural diversity.
-
E.
Martinique
Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.