Triple
T22369846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akure South Local Government Area |
E553009
|
entity |
| Predicate | hosts |
P186
|
FINISHED |
| Object | Akure Airport |
—
|
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: Akure Airport | Statement: [Akure South Local Government Area, hosts, Akure Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akure Airport Context triple: [Akure South Local Government Area, hosts, Akure Airport]
-
A.
Akure Airport
chosen
Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
-
B.
Hokksund Airport
Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
-
C.
Rygge Airport
Rygge Airport is a former civil and military airport in Rygge, near Moss in southeastern Norway, which once served as a low-cost hub before closing to regular commercial traffic.
-
D.
Torp Airport
Torp Airport is a regional international airport in Sandefjord, Norway, serving the Oslo area with both domestic and European flights.
-
E.
Berlevåg Airport
Berlevåg Airport is a small regional airport in Berlevåg, Norway, primarily serving local communities with short-haul domestic flights along the northern coast.
- 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.