Triple
T16835944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallam Aminu Kano International Airport |
E409277
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | DNKN |
E409278
|
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: DNKN | Statement: [Mallam Aminu Kano International Airport, ICAOCode, DNKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNKN Context triple: [Mallam Aminu Kano International Airport, ICAOCode, DNKN]
-
A.
DNKN
chosen
DNKN is the ICAO airport code for Mallam Aminu Kano International Airport in Kano, Nigeria.
-
B.
DKNVS
DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
-
C.
KITH
KITH is the ICAO airport code for Ithaca Tompkins International Airport in Ithaca, New York, which serves the Finger Lakes region with regional commercial flights.
-
D.
DKNY
DKNY is a New York-based fashion brand founded by Donna Karan, known for its contemporary, urban-inspired clothing and accessories.
-
E.
Nike
Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34d49d08190aa62f05d67244584 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb15c9f48190a4d73bb08a15beb4 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.