Triple
T21785515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Alabama Regional Airport |
E537825
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | K79J |
—
|
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: K79J | Statement: [South Alabama Regional Airport, ICAOCode, K79J]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K79J Context triple: [South Alabama Regional Airport, ICAOCode, K79J]
-
A.
K79J
chosen
K79J is the ICAO airport code for South Alabama Regional Airport, a public airport serving the Andalusia and Opp areas in Alabama, United States.
-
B.
K7
K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
-
C.
K7
K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
-
D.
J90
The J90 is a generation of the Toyota Land Cruiser Prado mid-size SUV produced in the late 1990s and early 2000s, known for its off-road capability and body-on-frame construction.
-
E.
J70
The J70 is a long-running generation of the Toyota Land Cruiser renowned for its rugged body-on-frame construction, off-road durability, and continued use in demanding commercial and remote-area applications worldwide.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04630f4f08190910b9e499a4249ca |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.