Triple
T12411989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matmut Atlantique |
E296538
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Matmut |
E982620
|
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: Matmut | Statement: [Matmut Atlantique, sponsor, Matmut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matmut Context triple: [Matmut Atlantique, sponsor, Matmut]
-
A.
Matmut
chosen
Matmut is a French mutual insurance company that provides a wide range of insurance and financial services to individuals and businesses.
-
B.
Mutsamudu
Mutsamudu is the main urban and economic center of the Comorian island of Anjouan, known for its historic medina and Indian Ocean port.
-
C.
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
D.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
E.
Baaka
Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6b0f9c8190813b6fe3f97570ac |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efe60388190944fe3226be4cc7c |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.