Triple
T20086721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiiraan |
E496151
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Beledweyne 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: Beledweyne Airport | Statement: [Hiiraan, hasAirport, Beledweyne Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beledweyne Airport Context triple: [Hiiraan, hasAirport, Beledweyne Airport]
-
A.
Beledweyne Airport
chosen
Beledweyne Airport is a regional public airport serving the city of Beledweyne in central Somalia, facilitating domestic air travel and transport.
-
B.
Borg El Arab Airport
Borg El Arab Airport is the main international airport serving the Alexandria region in northern Egypt, handling both domestic and international flights.
-
C.
El-Obeid Airport
El-Obeid Airport is a public airport serving the city of El-Obeid and the surrounding region in central Sudan.
-
D.
Marsa Alam International Airport
Marsa Alam International Airport is a modern Egyptian airport on the Red Sea coast that serves as a key gateway for tourists visiting the resort town of Marsa Alam and surrounding diving destinations.
-
E.
La Nubia Airport
La Nubia Airport is a small regional airport serving the city of Manizales in Colombia’s coffee-growing region.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ba40c8190adea0e271a1249cf |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:04 p.m.