Triple
T12155479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNYO |
E289563
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Yola Airport |
E297029
|
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: Yola Airport | Statement: [DNYO, identifies, Yola Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yola Airport Context triple: [DNYO, identifies, Yola Airport]
-
A.
Yola Airport
chosen
Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
-
B.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
D.
Kalemie Airport
Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
-
E.
Umroi Airport
Umroi Airport is a domestic airport serving the city of Shillong and the surrounding region in the Indian state of Meghalaya.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c1673c8190830cd15525d16869 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee46e608190ac824c3c8306013e |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:50 p.m.