Triple
T16383949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French colonial law |
E397874
|
entity |
| Predicate | appliedIn |
P1129
|
FINISHED |
| Object | French Madagascar |
E27635
|
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 Madagascar | Statement: [French colonial law, appliedIn, French Madagascar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Madagascar Context triple: [French colonial law, appliedIn, French Madagascar]
-
A.
French Guinea
French Guinea was a former French colonial territory in West Africa that later became the independent nation of Guinea.
-
B.
Réunion
Réunion is a French island and overseas department in the Indian Ocean known for its volcanic landscapes, multicultural population, and status as an outermost region of the European Union.
-
C.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
D.
Mauricius
Mauricius is a Latin given name of Roman origin that later evolved into various European forms such as Maurice and Morris.
-
E.
Madagascar
chosen
Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319de83248190b5d43646fa9b6cda |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356b00408190beab51a23011be67 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.