Triple
T10247215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon-Mba International Airport |
E240246
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Léon Mba |
E240251
|
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: Léon Mba | Statement: [Léon-Mba International Airport, namedAfter, Léon Mba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léon Mba Context triple: [Léon-Mba International Airport, namedAfter, Léon Mba]
-
A.
Léon Mba
chosen
Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
-
B.
Léon Mébiame
Léon Mébiame was a Gabonese politician who served for many years as a key government leader during the long rule of President Omar Bongo.
-
C.
Yves N’Djock
Yves N’Djock is a musician best known for his work as a member of the American new wave band Tom Tom Club.
-
D.
Joseph M'Benga
Joseph M'Benga is a Starfleet medical officer and skilled physician in the Star Trek universe, prominently depicted as the USS Enterprise’s chief medical officer in Star Trek: Strange New Worlds.
-
E.
Émile Mbouh
Émile Mbouh is a former Cameroonian footballer best known for representing Cameroon as a midfielder in multiple FIFA World Cups.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.