Triple
T11302761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossi language |
E267636
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Moré |
E222528
|
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: Moré | Statement: [Mossi language, alternativeName, Moré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moré Context triple: [Mossi language, alternativeName, Moré]
-
A.
Mooré
chosen
Mooré is a major Gur language spoken primarily by the Mossi people of Burkina Faso and neighboring West African countries.
-
B.
Gaspardo
Gaspardo is an Italian variant of the given name Gaspard, commonly used as a masculine first name and sometimes as a surname.
-
C.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
D.
O’Donojú
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
E.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542df01fc81908539407e20543002 |
completed | April 19, 2026, 9:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.