Triple
T10777237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asaba |
E254229
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Asaba International Airport |
E548928
|
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: Asaba International Airport | Statement: [Asaba, hasAirport, Asaba International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asaba International Airport Context triple: [Asaba, hasAirport, Asaba International Airport]
-
A.
Asaba International Airport
chosen
Asaba International Airport is a regional airport serving the city of Asaba and surrounding areas in Delta State, Nigeria, handling both domestic and limited international flights.
-
B.
Beni Airport
Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
-
C.
Makokou Airport
Makokou Airport is a small public airport serving the town of Makokou in northeastern Gabon, providing regional air connectivity.
-
D.
Umroi Airport
Umroi Airport is a domestic airport serving the city of Shillong and the surrounding region in the Indian state of Meghalaya.
-
E.
Sado Airport
Sado Airport is a regional airport serving Sado Island in Niigata Prefecture, Japan, providing domestic air connections to the mainland.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c18c3c819089d49e3e4585049e |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.