Triple
T22369875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akure Airport |
E553010
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | AKR |
—
|
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: AKR | Statement: [Akure Airport, IATAcode, AKR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AKR Context triple: [Akure Airport, IATAcode, AKR]
-
A.
AKR
AKR is the standard abbreviation used for the Akron RubberDucks, a Minor League Baseball team based in Akron, Ohio.
-
B.
AKR
chosen
AKR is the FAA location identifier for Akron Fulton International Airport, a public airport serving Akron, Ohio.
-
C.
Aka
The Aka are a Central African Indigenous people known for their forest-based hunter-gatherer lifestyle and rich musical and cultural traditions.
-
D.
Aka
The Aka are an indigenous ethnic group of the eastern Himalayas, traditionally inhabiting parts of Arunachal Pradesh in northeastern India, including the Bomdila region.
-
E.
Aka
Aka is one of Tsukuru Tazaki’s close high school friends in Haruki Murakami’s novel "Colorless Tsukuru Tazaki and His Years of Pilgrimage," whose mysterious break from the group deeply affects the protagonist’s life.
- 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.