Triple
T22369488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nnamdi Azikiwe |
E553000
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | West African Pilot |
—
|
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: West African Pilot | Statement: [Nnamdi Azikiwe, founded, West African Pilot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West African Pilot Context triple: [Nnamdi Azikiwe, founded, West African Pilot]
-
A.
West African Pilot
chosen
West African Pilot was an influential Nigerian newspaper that played a key role in the nationalist movement against British colonial rule.
-
B.
Fouga
Fouga was a French aircraft manufacturer best known for producing the CM.170 Magister jet trainer.
-
C.
Avior
Avior is a bright binary star system in the constellation Carina, known as one of the stars that form the asterism of the False Cross in the southern sky.
-
D.
Arajet
Arajet is a Dominican low-cost airline based in Santo Domingo that operates flights across the Caribbean and the Americas.
-
E.
Rasco
Rasco is an American underground hip hop MC known for his gritty lyricism and collaborations within the West Coast rap scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158032b748190ad36c7e3809304e9 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.